Power Law versus Exponential State Transition Dynamics: Application to Sleep-Wake Architecture
Events
Loading … Spinner

Mendeley | Further Information

{"title"=>"Power law versus exponential state transition dynamics: Application to sleep-wake architecture", "type"=>"journal", "authors"=>[{"first_name"=>"Jesse", "last_name"=>"Chu-Shore", "scopus_author_id"=>"57189312929"}, {"first_name"=>"M. Brandon", "last_name"=>"Westover", "scopus_author_id"=>"6602591667"}, {"first_name"=>"Matt T.", "last_name"=>"Bianchi", "scopus_author_id"=>"7402561525"}], "year"=>2010, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-78649979658", "sgr"=>"78649979658", "pui"=>"360125670", "isbn"=>"10.1371/journal.pone.0014204", "pmid"=>"21151998", "doi"=>"10.1371/journal.pone.0014204"}, "id"=>"cddaa88a-1ae2-312f-878c-21589b36d342", "abstract"=>"Despite the common experience that interrupted sleep has a negative impact on waking function, the features of human sleep-wake architecture that best distinguish sleep continuity versus fragmentation remain elusive. In this regard, there is growing interest in characterizing sleep architecture using models of the temporal dynamics of sleep-wake stage transitions. In humans and other mammals, the state transitions defining sleep and wake bout durations have been described with exponential and power law models, respectively. However, sleep-wake stage distributions are often complex, and distinguishing between exponential and power law processes is not always straightforward. Although mono-exponential distributions are distinct from power law distributions, multi-exponential distributions may in fact resemble power laws by appearing linear on a log-log plot.", "link"=>"http://www.mendeley.com/research/power-law-versus-exponential-state-transition-dynamics-application-sleepwake-architecture", "reader_count"=>45, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>3, "Researcher"=>11, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>15, "Student > Postgraduate"=>1, "Student > Master"=>6, "Other"=>3, "Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>3, "Researcher"=>11, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>15, "Student > Postgraduate"=>1, "Student > Master"=>6, "Other"=>3, "Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Agricultural and Biological Sciences"=>14, "Chemistry"=>1, "Computer Science"=>3, "Earth and Planetary Sciences"=>1, "Engineering"=>5, "Biochemistry, Genetics and Molecular Biology"=>1, "Mathematics"=>2, "Medicine and Dentistry"=>4, "Neuroscience"=>5, "Physics and Astronomy"=>4, "Psychology"=>2, "Social Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>4}, "Social Sciences"=>{"Social Sciences"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>4}, "Psychology"=>{"Psychology"=>2}, "Mathematics"=>{"Mathematics"=>2}, "Unspecified"=>{"Unspecified"=>2}, "Engineering"=>{"Engineering"=>5}, "Chemistry"=>{"Chemistry"=>1}, "Neuroscience"=>{"Neuroscience"=>5}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>14}, "Computer Science"=>{"Computer Science"=>3}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}}, "reader_count_by_country"=>{"Canada"=>1, "United States"=>2, "China"=>1, "Japan"=>1, "France"=>1, "Germany"=>2}, "group_count"=>4}

Scopus | Further Information

{"@_fa"=>"true", "link"=>[{"@_fa"=>"true", "@ref"=>"self", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/78649979658"}, {"@_fa"=>"true", "@ref"=>"author-affiliation", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/78649979658?field=author,affiliation"}, {"@_fa"=>"true", "@ref"=>"scopus", "@href"=>"https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78649979658&origin=inward"}, {"@_fa"=>"true", "@ref"=>"scopus-citedby", "@href"=>"https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=78649979658&origin=inward"}], "prism:url"=>"https://api.elsevier.com/content/abstract/scopus_id/78649979658", "dc:identifier"=>"SCOPUS_ID:78649979658", "eid"=>"2-s2.0-78649979658", "dc:title"=>"Power law versus exponential state transition dynamics: Application to sleep-wake architecture", "dc:creator"=>"Chu-Shore J.", "prism:publicationName"=>"PLoS ONE", "prism:eIssn"=>"19326203", "prism:volume"=>"5", "prism:issueIdentifier"=>"12", "prism:pageRange"=>nil, "prism:coverDate"=>"2010-12-15", "prism:coverDisplayDate"=>"2010", "prism:doi"=>"10.1371/journal.pone.0014204", "citedby-count"=>"39", "affiliation"=>[{"@_fa"=>"true", "affilname"=>"Harvard University", "affiliation-city"=>"Cambridge", "affiliation-country"=>"United States"}], "pubmed-id"=>"21151998", "prism:aggregationType"=>"Journal", "subtype"=>"ar", "subtypeDescription"=>"Article", "article-number"=>"e14204", "source-id"=>"10600153309", "openaccess"=>"1", "openaccessFlag"=>true}

Facebook

  • {"url"=>"http%3A%2F%2Fjournals.plos.org%2Fplosone%2Farticle%3Fid%3D10.1371%252Fjournal.pone.0014204", "share_count"=>0, "like_count"=>0, "comment_count"=>0, "click_count"=>0, "total_count"=>0}

Counter

  • {"month"=>"12", "year"=>"2010", "pdf_views"=>"80", "xml_views"=>"7", "html_views"=>"313"}
  • {"month"=>"1", "year"=>"2011", "pdf_views"=>"16", "xml_views"=>"1", "html_views"=>"81"}
  • {"month"=>"2", "year"=>"2011", "pdf_views"=>"13", "xml_views"=>"1", "html_views"=>"56"}
  • {"month"=>"3", "year"=>"2011", "pdf_views"=>"21", "xml_views"=>"0", "html_views"=>"76"}
  • {"month"=>"4", "year"=>"2011", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"48"}
  • {"month"=>"5", "year"=>"2011", "pdf_views"=>"4", "xml_views"=>"2", "html_views"=>"29"}
  • {"month"=>"6", "year"=>"2011", "pdf_views"=>"4", "xml_views"=>"1", "html_views"=>"29"}
  • {"month"=>"7", "year"=>"2011", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"34"}
  • {"month"=>"8", "year"=>"2011", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"37"}
  • {"month"=>"9", "year"=>"2011", "pdf_views"=>"8", "xml_views"=>"2", "html_views"=>"54"}
  • {"month"=>"10", "year"=>"2011", "pdf_views"=>"2", "xml_views"=>"0", "html_views"=>"47"}
  • {"month"=>"11", "year"=>"2011", "pdf_views"=>"13", "xml_views"=>"4", "html_views"=>"56"}
  • {"month"=>"12", "year"=>"2011", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"48"}
  • {"month"=>"1", "year"=>"2012", "pdf_views"=>"8", "xml_views"=>"1", "html_views"=>"38"}
  • {"month"=>"2", "year"=>"2012", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"30"}
  • {"month"=>"3", "year"=>"2012", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"33"}
  • {"month"=>"4", "year"=>"2012", "pdf_views"=>"8", "xml_views"=>"1", "html_views"=>"35"}
  • {"month"=>"5", "year"=>"2012", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"43"}
  • {"month"=>"6", "year"=>"2012", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"35"}
  • {"month"=>"7", "year"=>"2012", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"26"}
  • {"month"=>"8", "year"=>"2012", "pdf_views"=>"9", "xml_views"=>"5", "html_views"=>"31"}
  • {"month"=>"9", "year"=>"2012", "pdf_views"=>"7", "xml_views"=>"1", "html_views"=>"34"}
  • {"month"=>"10", "year"=>"2012", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"37"}
  • {"month"=>"11", "year"=>"2012", "pdf_views"=>"16", "xml_views"=>"0", "html_views"=>"49"}
  • {"month"=>"12", "year"=>"2012", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"34"}
  • {"month"=>"1", "year"=>"2013", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"56"}
  • {"month"=>"2", "year"=>"2013", "pdf_views"=>"4", "xml_views"=>"1", "html_views"=>"39"}
  • {"month"=>"3", "year"=>"2013", "pdf_views"=>"11", "xml_views"=>"0", "html_views"=>"54"}
  • {"month"=>"4", "year"=>"2013", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"42"}
  • {"month"=>"5", "year"=>"2013", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"66"}
  • {"month"=>"6", "year"=>"2013", "pdf_views"=>"8", "xml_views"=>"1", "html_views"=>"62"}
  • {"month"=>"7", "year"=>"2013", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"27"}
  • {"month"=>"8", "year"=>"2013", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"17"}
  • {"month"=>"9", "year"=>"2013", "pdf_views"=>"4", "xml_views"=>"1", "html_views"=>"39"}
  • {"month"=>"10", "year"=>"2013", "pdf_views"=>"7", "xml_views"=>"2", "html_views"=>"80"}
  • {"month"=>"11", "year"=>"2013", "pdf_views"=>"5", "xml_views"=>"2", "html_views"=>"46"}
  • {"month"=>"12", "year"=>"2013", "pdf_views"=>"7", "xml_views"=>"1", "html_views"=>"70"}
  • {"month"=>"1", "year"=>"2014", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"36"}
  • {"month"=>"2", "year"=>"2014", "pdf_views"=>"2", "xml_views"=>"0", "html_views"=>"28"}
  • {"month"=>"3", "year"=>"2014", "pdf_views"=>"1", "xml_views"=>"2", "html_views"=>"29"}
  • {"month"=>"4", "year"=>"2014", "pdf_views"=>"6", "xml_views"=>"1", "html_views"=>"36"}
  • {"month"=>"5", "year"=>"2014", "pdf_views"=>"9", "xml_views"=>"1", "html_views"=>"36"}
  • {"month"=>"6", "year"=>"2014", "pdf_views"=>"2", "xml_views"=>"0", "html_views"=>"20"}
  • {"month"=>"7", "year"=>"2014", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"23"}
  • {"month"=>"8", "year"=>"2014", "pdf_views"=>"3", "xml_views"=>"2", "html_views"=>"26"}
  • {"month"=>"9", "year"=>"2014", "pdf_views"=>"5", "xml_views"=>"1", "html_views"=>"38"}
  • {"month"=>"10", "year"=>"2014", "pdf_views"=>"4", "xml_views"=>"1", "html_views"=>"50"}
  • {"month"=>"11", "year"=>"2014", "pdf_views"=>"9", "xml_views"=>"1", "html_views"=>"47"}
  • {"month"=>"12", "year"=>"2014", "pdf_views"=>"1", "xml_views"=>"2", "html_views"=>"25"}
  • {"month"=>"1", "year"=>"2015", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"11"}
  • {"month"=>"2", "year"=>"2015", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"26"}
  • {"month"=>"3", "year"=>"2015", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"64"}
  • {"month"=>"4", "year"=>"2015", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"26"}
  • {"month"=>"5", "year"=>"2015", "pdf_views"=>"10", "xml_views"=>"1", "html_views"=>"39"}
  • {"month"=>"6", "year"=>"2015", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"18"}
  • {"month"=>"7", "year"=>"2015", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"33"}
  • {"month"=>"8", "year"=>"2015", "pdf_views"=>"2", "xml_views"=>"2", "html_views"=>"34"}
  • {"month"=>"9", "year"=>"2015", "pdf_views"=>"15", "xml_views"=>"1", "html_views"=>"51"}
  • {"month"=>"10", "year"=>"2015", "pdf_views"=>"12", "xml_views"=>"0", "html_views"=>"40"}
  • {"month"=>"11", "year"=>"2015", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"46"}
  • {"month"=>"12", "year"=>"2015", "pdf_views"=>"1", "xml_views"=>"0", "html_views"=>"39"}
  • {"month"=>"1", "year"=>"2016", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"37"}
  • {"month"=>"2", "year"=>"2016", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"26"}
  • {"month"=>"3", "year"=>"2016", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"58"}
  • {"month"=>"4", "year"=>"2016", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"45"}
  • {"month"=>"5", "year"=>"2016", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"46"}
  • {"month"=>"6", "year"=>"2016", "pdf_views"=>"12", "xml_views"=>"0", "html_views"=>"80"}
  • {"month"=>"7", "year"=>"2016", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"52"}
  • {"month"=>"8", "year"=>"2016", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"30"}
  • {"month"=>"9", "year"=>"2016", "pdf_views"=>"14", "xml_views"=>"0", "html_views"=>"44"}
  • {"month"=>"10", "year"=>"2016", "pdf_views"=>"10", "xml_views"=>"0", "html_views"=>"40"}
  • {"month"=>"11", "year"=>"2016", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"61"}
  • {"month"=>"12", "year"=>"2016", "pdf_views"=>"3", "xml_views"=>"1", "html_views"=>"29"}
  • {"month"=>"1", "year"=>"2017", "pdf_views"=>"5", "xml_views"=>"1", "html_views"=>"125"}
  • {"month"=>"2", "year"=>"2017", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"98"}
  • {"month"=>"3", "year"=>"2017", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"164"}
  • {"month"=>"4", "year"=>"2017", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"84"}
  • {"month"=>"5", "year"=>"2017", "pdf_views"=>"12", "xml_views"=>"2", "html_views"=>"90"}
  • {"month"=>"6", "year"=>"2017", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"133"}
  • {"month"=>"7", "year"=>"2017", "pdf_views"=>"3", "xml_views"=>"1", "html_views"=>"123"}
  • {"month"=>"8", "year"=>"2017", "pdf_views"=>"6", "xml_views"=>"1", "html_views"=>"90"}
  • {"month"=>"9", "year"=>"2017", "pdf_views"=>"7", "xml_views"=>"2", "html_views"=>"144"}
  • {"month"=>"10", "year"=>"2017", "pdf_views"=>"5", "xml_views"=>"2", "html_views"=>"97"}
  • {"month"=>"11", "year"=>"2017", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"176"}
  • {"month"=>"12", "year"=>"2017", "pdf_views"=>"9", "xml_views"=>"1", "html_views"=>"90"}
  • {"month"=>"1", "year"=>"2018", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"84"}
  • {"month"=>"2", "year"=>"2018", "pdf_views"=>"10", "xml_views"=>"0", "html_views"=>"29"}
  • {"month"=>"3", "year"=>"2018", "pdf_views"=>"7", "xml_views"=>"1", "html_views"=>"27"}
  • {"month"=>"4", "year"=>"2018", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"22"}
  • {"month"=>"5", "year"=>"2018", "pdf_views"=>"7", "xml_views"=>"4", "html_views"=>"40"}
  • {"month"=>"6", "year"=>"2018", "pdf_views"=>"13", "xml_views"=>"1", "html_views"=>"19"}
  • {"month"=>"7", "year"=>"2018", "pdf_views"=>"6", "xml_views"=>"2", "html_views"=>"7"}
  • {"month"=>"8", "year"=>"2018", "pdf_views"=>"8", "xml_views"=>"1", "html_views"=>"36"}
  • {"month"=>"9", "year"=>"2018", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"35"}
  • {"month"=>"10", "year"=>"2018", "pdf_views"=>"11", "xml_views"=>"1", "html_views"=>"30"}
  • {"month"=>"11", "year"=>"2018", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"22"}
  • {"month"=>"12", "year"=>"2018", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"19"}
  • {"month"=>"1", "year"=>"2019", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"27"}
  • {"month"=>"2", "year"=>"2019", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"15"}
  • {"month"=>"3", "year"=>"2019", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"12"}
  • {"month"=>"4", "year"=>"2019", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"18"}
  • {"month"=>"5", "year"=>"2019", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"25"}
  • {"month"=>"6", "year"=>"2019", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"21"}
  • {"month"=>"7", "year"=>"2019", "pdf_views"=>"10", "xml_views"=>"0", "html_views"=>"24"}
  • {"month"=>"8", "year"=>"2019", "pdf_views"=>"16", "xml_views"=>"1", "html_views"=>"39"}
  • {"month"=>"9", "year"=>"2019", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"23"}
  • {"month"=>"10", "year"=>"2019", "pdf_views"=>"10", "xml_views"=>"0", "html_views"=>"22"}
  • {"month"=>"11", "year"=>"2019", "pdf_views"=>"11", "xml_views"=>"0", "html_views"=>"20"}
  • {"month"=>"12", "year"=>"2019", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"5"}

Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/814789"], "description"=>"<p>For <i>n</i> = 40 (A) and <i>n</i> = 640 (B), the explained variation (<i>R</i><sup>2</sup>) from the (incorrect) power law model is high for all parameter values when the OLS method is used.</p>", "links"=>[], "tags"=>["squares", "fitting", "two-exponential"], "article_id"=>485165, "categories"=>["Mathematics", "Neuroscience", "Medicine"], "users"=>["Jesse Chu-Shore", "M. Brandon Westover", "Matt T. Bianchi"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014204.g005", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Ordinary_least_squares_fitting_of_power_law_model_to_two_exponential_data_/485165", "title"=>"Ordinary least squares fitting of power law model to two-exponential data.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-12-02 01:26:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/406312"], "description"=>"<div><h3>Background</h3><p>Despite the common experience that interrupted sleep has a negative impact on waking function, the features of human sleep-wake architecture that best distinguish sleep continuity versus fragmentation remain elusive. In this regard, there is growing interest in characterizing sleep architecture using models of the temporal dynamics of sleep-wake stage transitions. In humans and other mammals, the state transitions defining sleep and wake bout durations have been described with exponential and power law models, respectively. However, sleep-wake stage distributions are often complex, and distinguishing between exponential and power law processes is not always straightforward. Although mono-exponential distributions are distinct from power law distributions, multi-exponential distributions may in fact resemble power laws by appearing linear on a log-log plot.</p><h3>Methodology/Principal Findings</h3><p>To characterize the parameters that may allow these distributions to mimic one another, we systematically fitted multi-exponential-generated distributions with a power law model, and power law-generated distributions with multi-exponential models. We used the Kolmogorov-Smirnov method to investigate goodness of fit for the “incorrect” model over a range of parameters. The “zone of mimicry” of parameters that increased the risk of mistakenly accepting power law fitting resembled empiric time constants obtained in human sleep and wake bout distributions.</p><h3>Conclusions/Significance</h3><p>Recognizing this uncertainty in model distinction impacts interpretation of transition dynamics (self-organizing versus probabilistic), and the generation of predictive models for clinical classification of normal and pathological sleep architecture.</p></div>", "links"=>[], "tags"=>["exponential", "sleep-wake"], "article_id"=>140282, "categories"=>["Mathematics", "Neuroscience", "Medicine"], "users"=>["Jesse Chu-Shore", "M. Brandon Westover", "Matt T. Bianchi"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014204", "stats"=>{"downloads"=>2, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Power_Law_versus_Exponential_State_Transition_Dynamics_Application_to_Sleep_Wake_Architecture/140282", "title"=>"Power Law versus Exponential State Transition Dynamics: Application to Sleep-Wake Architecture", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-12-02 00:04:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/814612"], "description"=>"<p>Panels A–D show the probability of failing to reject the incorrect power law model, for two-exponential data of increasing sample sizes (<i>n</i> = 40–640), In each panel, τ<sub>1</sub> = 1 (the fast exponential), τ<sub>2</sub> is varied (<i>y</i>-axis; the slower exponential), and the relative contribution of each exponential τ is given on the <i>x</i>-axis. The probability of rejecting the power law fit is color coded on the <i>z</i>-axis.</p>", "links"=>[], "tags"=>["two-exponential"], "article_id"=>484986, "categories"=>["Mathematics", "Neuroscience", "Medicine"], "users"=>["Jesse Chu-Shore", "M. Brandon Westover", "Matt T. Bianchi"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014204.g003", "stats"=>{"downloads"=>2, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Fitting_a_power_law_model_to_two_exponential_data_/484986", "title"=>"Fitting a power law model to two-exponential data.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-12-02 01:23:06"}
  • {"files"=>["https://ndownloader.figshare.com/files/814977"], "description"=>"<p>A-D show the probability of failing to reject the (incorrect) power law fit of three-exponential data with increasing sample size (<i>n</i>=39-639). The τ values are varied as shown by the <i>x</i> and <i>y</i>-axes. The proportion is fixed at 1∶1∶1. The probability of failing to reject the power law model is color coded in the <i>z</i>-axis.</p>", "links"=>[], "tags"=>["fitting", "three-exponential"], "article_id"=>485352, "categories"=>["Mathematics", "Neuroscience", "Medicine"], "users"=>["Jesse Chu-Shore", "M. Brandon Westover", "Matt T. Bianchi"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014204.g007", "stats"=>{"downloads"=>2, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Power_law_fitting_of_three_exponential_data_fixed_contributions_variable_964_/485352", "title"=>"Power law fitting of three-exponential data (fixed contributions, variable τ).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-12-02 01:29:12"}
  • {"files"=>["https://ndownloader.figshare.com/files/815069"], "description"=>"<p>Note: a number in parentheses after the result indicates the number of data sets out of the first 1000 simulations that fit our inclusion criteria.</p><p>*indicates that the reported result is based on 1000 total data sets for which the one-, two- and three-exponential models all fit our inclusion criteria.</p>", "links"=>[], "tags"=>["samples", "exponential", "fitting"], "article_id"=>485442, "categories"=>["Mathematics", "Neuroscience", "Medicine"], "users"=>["Jesse Chu-Shore", "M. Brandon Westover", "Matt T. Bianchi"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014204.t001", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Fraction_of_samples_for_which_exponential_fitting_is_not_rejected_/485442", "title"=>"Fraction of samples for which exponential fitting is not rejected.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-12-02 01:30:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/814540"], "description"=>"<p>This frequency histogram appears linear on the log-log plot, which is typical of a power law distribution. The distributions of the three distinct one-exponential generators used to create the distribution shown in panel A include a fast (blue), intermediate (green) and slow (red) exponential decay constant, in arbitrary units of duration. Panel C shows the overlap of panels A and B.</p>", "links"=>[], "tags"=>["mimic"], "article_id"=>484912, "categories"=>["Mathematics", "Neuroscience", "Medicine"], "users"=>["Jesse Chu-Shore", "M. Brandon Westover", "Matt T. Bianchi"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014204.g002", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Multi_exponential_data_can_mimic_a_power_law_/484912", "title"=>"Multi-exponential data can mimic a power law.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-12-02 01:21:52"}
  • {"files"=>["https://ndownloader.figshare.com/files/814712"], "description"=>"<p>Frequency histogram examples of a single trial from the “green” zone of <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0014204#pone-0014204-g003\" target=\"_blank\">Figure 3B</a> (left) and from the red zone (right). In the green zone, the power law is rejected, while in the red zone, the power law model is acceptable (fails to be rejected).</p>", "links"=>[], "tags"=>["sets", "two-exponential"], "article_id"=>485081, "categories"=>["Mathematics", "Neuroscience", "Medicine"], "users"=>["Jesse Chu-Shore", "M. Brandon Westover", "Matt T. Bianchi"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014204.g004", "stats"=>{"downloads"=>3, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Representative_data_sets_from_two_exponential_data_/485081", "title"=>"Representative data sets from two-exponential data.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-12-02 01:24:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/814465"], "description"=>"<p>Simple first order Markov transitions between two states (S and W), which generates a one-exponential distribution of sleep states (when n = 400 or 4000). The data are plotted as a binned frequency histogram with arbitrary units of bout duration; inset shows the same data on a semi-log plot, in which mono-exponential distributions appear linear.</p>", "links"=>[], "tags"=>["fragmentation"], "article_id"=>484837, "categories"=>["Mathematics", "Neuroscience", "Medicine"], "users"=>["Jesse Chu-Shore", "M. Brandon Westover", "Matt T. Bianchi"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014204.g001", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Example_of_a_random_fragmentation_process_/484837", "title"=>"Example of a random fragmentation process.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-12-02 01:20:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/814863"], "description"=>"<p>A–D show the probability of failing to reject the (incorrect) power law fit of three-exponential data with increasing sample size (<i>n</i> = 40–640). The τ values were fixed (1, 5, and 25 epochs), while their proportions are varied as shown by the <i>x</i>- and <i>y</i>-axes. The probability of failing to reject the power law model is color coded in the <i>z</i>-axis.</p>", "links"=>[], "tags"=>["fitting", "three-exponential"], "article_id"=>485234, "categories"=>["Mathematics", "Neuroscience", "Medicine"], "users"=>["Jesse Chu-Shore", "M. Brandon Westover", "Matt T. Bianchi"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0014204.g006", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Power_law_fitting_of_three_exponential_data_fixed_964_variable_contributions_/485234", "title"=>"Power law fitting of three-exponential data (fixed τ, variable contributions).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-12-02 01:27:14"}

PMC Usage Stats | Further Information

  • {"month"=>"12", "scanned-page-browse"=>"0", "cited-by"=>"0", "abstract"=>"0", "full-text"=>"5", "year"=>"2010", "pdf"=>"7", "unique-ip"=>"11", "figure"=>"0", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"scanned-page-browse"=>"0", "month"=>"1", "cited-by"=>"0", "abstract"=>"2", "full-text"=>"11", "unique-ip"=>"15", "pdf"=>"8", "year"=>"2011", "figure"=>"2", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"month"=>"2", "scanned-page-browse"=>"0", "cited-by"=>"0", "abstract"=>"0", "full-text"=>"10", "year"=>"2011", "pdf"=>"3", "unique-ip"=>"10", "figure"=>"0", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"scanned-page-browse"=>"0", "month"=>"3", "cited-by"=>"0", "abstract"=>"1", "full-text"=>"12", "unique-ip"=>"13", "pdf"=>"2", "year"=>"2011", "figure"=>"0", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"month"=>"4", "scanned-page-browse"=>"0", "cited-by"=>"0", "abstract"=>"0", "full-text"=>"3", "year"=>"2011", "pdf"=>"6", "unique-ip"=>"5", "figure"=>"1", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"scanned-page-browse"=>"0", "month"=>"5", "cited-by"=>"0", "abstract"=>"0", "full-text"=>"8", "unique-ip"=>"9", "pdf"=>"7", "year"=>"2011", "figure"=>"1", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"month"=>"6", "scanned-page-browse"=>"0", "cited-by"=>"0", "abstract"=>"1", "full-text"=>"5", "year"=>"2011", "pdf"=>"1", "unique-ip"=>"7", "figure"=>"7", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"scanned-page-browse"=>"0", "month"=>"7", "cited-by"=>"0", "abstract"=>"0", "full-text"=>"2", "unique-ip"=>"3", "pdf"=>"1", "year"=>"2011", "figure"=>"1", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"month"=>"8", "scanned-page-browse"=>"0", "cited-by"=>"0", "abstract"=>"0", "full-text"=>"12", "year"=>"2011", "pdf"=>"2", "unique-ip"=>"10", "figure"=>"0", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"scanned-page-browse"=>"0", "month"=>"9", "cited-by"=>"0", "abstract"=>"0", "full-text"=>"4", "unique-ip"=>"4", "pdf"=>"3", "year"=>"2011", "figure"=>"0", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"month"=>"10", "scanned-page-browse"=>"0", "cited-by"=>"0", "abstract"=>"0", "full-text"=>"9", "year"=>"2011", "pdf"=>"3", "unique-ip"=>"6", "figure"=>"0", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"scanned-page-browse"=>"0", "month"=>"11", "cited-by"=>"0", "abstract"=>"0", "full-text"=>"9", "unique-ip"=>"9", "pdf"=>"3", "year"=>"2011", "figure"=>"2", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"month"=>"12", "scanned-page-browse"=>"0", "cited-by"=>"0", "abstract"=>"4", "full-text"=>"5", "year"=>"2011", "pdf"=>"3", "unique-ip"=>"4", "figure"=>"0", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"scanned-page-browse"=>"0", "month"=>"1", "cited-by"=>"0", "abstract"=>"0", "full-text"=>"13", "unique-ip"=>"13", "pdf"=>"6", "year"=>"2012", "figure"=>"0", "scanned-summary"=>"0", "supp-data"=>"1"}
  • {"month"=>"2", "scanned-page-browse"=>"0", "cited-by"=>"0", "abstract"=>"1", "full-text"=>"2", "year"=>"2012", "pdf"=>"2", "unique-ip"=>"4", "figure"=>"0", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"scanned-page-browse"=>"0", "month"=>"3", "cited-by"=>"0", "abstract"=>"0", "full-text"=>"8", "unique-ip"=>"8", "pdf"=>"2", "year"=>"2012", "figure"=>"1", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"month"=>"4", "scanned-page-browse"=>"0", "cited-by"=>"0", "abstract"=>"0", "full-text"=>"6", "year"=>"2012", "pdf"=>"1", "unique-ip"=>"6", "figure"=>"1", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"scanned-page-browse"=>"0", "month"=>"5", "cited-by"=>"0", "abstract"=>"1", "full-text"=>"5", "unique-ip"=>"6", "pdf"=>"3", "year"=>"2012", "figure"=>"0", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"month"=>"6", "scanned-page-browse"=>"0", "cited-by"=>"0", "abstract"=>"2", "full-text"=>"8", "year"=>"2012", "pdf"=>"3", "unique-ip"=>"9", "figure"=>"3", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"unique-ip"=>"12", "full-text"=>"13", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2012", "month"=>"7"}
  • {"unique-ip"=>"5", "full-text"=>"6", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2012", "month"=>"8"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2012", "month"=>"9"}
  • {"unique-ip"=>"10", "full-text"=>"8", "pdf"=>"1", "abstract"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2012", "month"=>"10"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2012", "month"=>"12"}
  • {"unique-ip"=>"10", "full-text"=>"8", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"1"}
  • {"unique-ip"=>"9", "full-text"=>"10", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"3"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"2"}
  • {"unique-ip"=>"5", "full-text"=>"6", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"4"}
  • {"unique-ip"=>"11", "full-text"=>"11", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2012", "month"=>"11"}
  • {"unique-ip"=>"10", "full-text"=>"9", "pdf"=>"0", "abstract"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2013", "month"=>"5"}
  • {"unique-ip"=>"8", "full-text"=>"5", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"6"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"7"}
  • {"unique-ip"=>"6", "full-text"=>"5", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2013", "month"=>"8"}
  • {"unique-ip"=>"7", "full-text"=>"8", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"9"}
  • {"unique-ip"=>"9", "full-text"=>"12", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"10"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"11"}
  • {"unique-ip"=>"9", "full-text"=>"10", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"12"}
  • {"unique-ip"=>"7", "full-text"=>"6", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"1"}
  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"2"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"3"}
  • {"unique-ip"=>"12", "full-text"=>"12", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"5"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"6"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"4"}
  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"4"}
  • {"unique-ip"=>"10", "full-text"=>"10", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"5"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"6"}
  • {"unique-ip"=>"12", "full-text"=>"12", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"7"}
  • {"unique-ip"=>"16", "full-text"=>"12", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"3"}
  • {"unique-ip"=>"11", "full-text"=>"12", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"2"}
  • {"unique-ip"=>"4", "full-text"=>"2", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"8"}
  • {"unique-ip"=>"14", "full-text"=>"14", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"9"}
  • {"unique-ip"=>"16", "full-text"=>"15", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"10"}
  • {"unique-ip"=>"14", "full-text"=>"5", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"1", "cited-by"=>"3", "year"=>"2014", "month"=>"7"}
  • {"unique-ip"=>"5", "full-text"=>"4", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"8"}
  • {"unique-ip"=>"8", "full-text"=>"7", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"9"}
  • {"unique-ip"=>"9", "full-text"=>"7", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2014", "month"=>"10"}
  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
  • {"unique-ip"=>"11", "full-text"=>"12", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"11"}
  • {"unique-ip"=>"8", "full-text"=>"5", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"12"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"1"}
  • {"unique-ip"=>"15", "full-text"=>"17", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2015", "month"=>"11"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"12"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"1"}
  • {"unique-ip"=>"12", "full-text"=>"14", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2016", "month"=>"3"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"5"}
  • {"unique-ip"=>"6", "full-text"=>"4", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
  • {"unique-ip"=>"11", "full-text"=>"24", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2016", "month"=>"7"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"8"}
  • {"unique-ip"=>"16", "full-text"=>"14", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"9"}
  • {"unique-ip"=>"21", "full-text"=>"21", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"10"}
  • {"unique-ip"=>"24", "full-text"=>"31", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"11"}
  • {"unique-ip"=>"8", "full-text"=>"7", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
  • {"unique-ip"=>"15", "full-text"=>"15", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"1"}
  • {"unique-ip"=>"15", "full-text"=>"15", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
  • {"unique-ip"=>"14", "full-text"=>"13", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
  • {"unique-ip"=>"8", "full-text"=>"9", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"4"}
  • {"unique-ip"=>"18", "full-text"=>"19", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"5"}
  • {"unique-ip"=>"13", "full-text"=>"13", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"6"}
  • {"unique-ip"=>"10", "full-text"=>"10", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"8"}
  • {"unique-ip"=>"11", "full-text"=>"14", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
  • {"unique-ip"=>"14", "full-text"=>"10", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"1", "cited-by"=>"1", "year"=>"2017", "month"=>"10"}
  • {"unique-ip"=>"14", "full-text"=>"16", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
  • {"unique-ip"=>"8", "full-text"=>"9", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"1"}
  • {"unique-ip"=>"16", "full-text"=>"15", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
  • {"unique-ip"=>"16", "full-text"=>"17", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
  • {"unique-ip"=>"32", "full-text"=>"46", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
  • {"unique-ip"=>"20", "full-text"=>"23", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
  • {"unique-ip"=>"9", "full-text"=>"11", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"6"}
  • {"unique-ip"=>"8", "full-text"=>"10", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
  • {"unique-ip"=>"16", "full-text"=>"14", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"12", "full-text"=>"12", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"21", "full-text"=>"23", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"8", "full-text"=>"8", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"17", "full-text"=>"17", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"20", "full-text"=>"22", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"16", "full-text"=>"20", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"22", "full-text"=>"21", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"40", "full-text"=>"26", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"14", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"21", "full-text"=>"20", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"23", "full-text"=>"22", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"31", "full-text"=>"38", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}

Relative Metric

{"start_date"=>"2010-01-01T00:00:00Z", "end_date"=>"2010-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[288, 576, 733, 867, 984, 1087, 1182, 1267, 1346, 1424, 1501, 1577, 1646, 1711, 1778, 1841, 1908, 1970, 2034, 2102, 2162, 2227, 2296, 2359, 2422, 2482, 2550, 2610, 2679, 2747, 2820, 2887, 2955, 3009, 3067, 3130, 3200, 3257, 3322, 3379, 3443, 3507, 3571, 3632, 3683, 3753, 3822, 3877]}, {"subject_area"=>"/Biology and life sciences/Anatomy and physiology", "average_usage"=>[276, 544, 702, 826, 936, 1045, 1140, 1222, 1305, 1377, 1453, 1528, 1584, 1661, 1725, 1783, 1848, 1913, 1977, 2038, 2103, 2158, 2223, 2290, 2346, 2406, 2467, 2529, 2588, 2652, 2722, 2779, 2835, 2892, 2943, 2999]}, {"subject_area"=>"/Biology and life sciences/Physiology", "average_usage"=>[275, 545, 699, 818, 931, 1035, 1128, 1212, 1291, 1366, 1439, 1514, 1580, 1649, 1708, 1765, 1826, 1877, 1940, 2009, 2076, 2150, 2215, 2266, 2335, 2395, 2459, 2521, 2596, 2669, 2724, 2787, 2840, 2890, 2961, 3025, 3081, 3142, 3195, 3261, 3314, 3377, 3442, 3491, 3538, 3583, 3649, 3699, 3747]}, {"subject_area"=>"/Computer and information sciences", "average_usage"=>[375, 666, 837, 949, 1062, 1171, 1233, 1318, 1399, 1470, 1550, 1608, 1701, 1771, 1835, 1908, 1973, 2046, 2091, 2160, 2220, 2285, 2359, 2455, 2537, 2610, 2687, 2778, 2836, 2908, 2974, 3021, 3082, 3169, 3224, 3300, 3382, 3469, 3550, 3640, 3728, 3765, 3814, 3858, 3915, 3952, 3991, 4067, 4107]}, {"subject_area"=>"/Computer and information sciences/Information technology", "average_usage"=>[348, 644, 769, 882, 976, 1040, 1128, 1209, 1272, 1322, 1411, 1506, 1576, 1641, 1700, 1753, 1794, 1857, 1922, 1991, 2058, 2147, 2203, 2266, 2337, 2418, 2509, 2575, 2639, 2714, 2782, 2838, 2900, 2958, 3009, 3137, 3215, 3339, 3435, 3548, 3641, 3737, 3806, 3868, 3930, 3991, 4050, 4101, 4151]}, {"subject_area"=>"/Medicine and health sciences/Anatomy and physiology", "average_usage"=>[270, 536, 692, 812, 932, 1037, 1128, 1210, 1293, 1367, 1439, 1514, 1580, 1646, 1711, 1766, 1834, 1902, 1969, 2036, 2106, 2165, 2221, 2285, 2337, 2403, 2459, 2517, 2586, 2644, 2716, 2782, 2842, 2895, 2958, 3017]}, {"subject_area"=>"/Physical sciences/Mathematics", "average_usage"=>[314, 590, 728, 851, 953, 1050, 1127, 1206, 1276, 1336, 1390, 1451, 1504, 1569, 1619, 1674, 1732, 1792, 1851, 1900, 1959, 2004, 2076, 2126, 2182, 2239, 2292, 2353, 2427, 2522, 2595, 2676, 2735, 2785, 2836, 2893, 2943, 2993, 3041, 3097, 3160, 3214, 3251, 3299, 3357, 3428, 3482, 3515, 3555]}]}
Loading … Spinner
There are currently no alerts