Consistency of Network Modules in Resting-State fMRI Connectome Data
Events
Loading … Spinner

Mendeley | Further Information

{"title"=>"Consistency of Network Modules in Resting-State fMRI Connectome Data", "type"=>"journal", "authors"=>[{"first_name"=>"Malaak N.", "last_name"=>"Moussa", "scopus_author_id"=>"54420719800"}, {"first_name"=>"Matthew R.", "last_name"=>"Steen", "scopus_author_id"=>"47961292000"}, {"first_name"=>"Paul J.", "last_name"=>"Laurienti", "scopus_author_id"=>"6603066653"}, {"first_name"=>"Satoru", "last_name"=>"Hayasaka", "scopus_author_id"=>"7101616306"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"pmid"=>"22952978", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0044428", "pui"=>"365552146", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "scopus"=>"2-s2.0-84865632744", "sgr"=>"84865632744"}, "id"=>"12a4c7c7-2c40-3622-a546-aa8ba3d3b44f", "abstract"=>"At rest, spontaneous brain activity measured by fMRI is summarized by a number of distinct resting state networks (RSNs) following similar temporal time courses. Such networks have been consistently identified across subjects using spatial ICA (independent component analysis). Moreover, graph theory-based network analyses have also been applied to resting-state fMRI data, identifying similar RSNs, although typically at a coarser spatial resolution. In this work, we examined resting-state fMRI networks from 194 subjects at a voxel-level resolution, and examined the consistency of RSNs across subjects using a metric called scaled inclusivity (SI), which summarizes consistency of modular partitions across networks. Our SI analyses indicated that some RSNs are robust across subjects, comparable to the corresponding RSNs identified by ICA. We also found that some commonly reported RSNs are less consistent across subjects. This is the first direct comparison of RSNs between ICAs and graph-based network analyses at a comparable resolution.", "link"=>"http://www.mendeley.com/research/consistency-network-modules-restingstate-fmri-connectome-data", "reader_count"=>205, "reader_count_by_academic_status"=>{"Unspecified"=>6, "Professor > Associate Professor"=>17, "Librarian"=>1, "Researcher"=>52, "Student > Doctoral Student"=>9, "Student > Ph. D. Student"=>52, "Student > Postgraduate"=>9, "Student > Master"=>23, "Other"=>5, "Student > Bachelor"=>20, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>8}, "reader_count_by_user_role"=>{"Unspecified"=>6, "Professor > Associate Professor"=>17, "Librarian"=>1, "Researcher"=>52, "Student > Doctoral Student"=>9, "Student > Ph. D. Student"=>52, "Student > Postgraduate"=>9, "Student > Master"=>23, "Other"=>5, "Student > Bachelor"=>20, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>8}, "reader_count_by_subject_area"=>{"Engineering"=>20, "Unspecified"=>22, "Mathematics"=>1, "Agricultural and Biological Sciences"=>24, "Medicine and Dentistry"=>30, "Neuroscience"=>29, "Arts and Humanities"=>2, "Business, Management and Accounting"=>1, "Physics and Astronomy"=>8, "Psychology"=>50, "Computer Science"=>17, "Linguistics"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>20}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>30}, "Neuroscience"=>{"Neuroscience"=>29}, "Physics and Astronomy"=>{"Physics and Astronomy"=>8}, "Psychology"=>{"Psychology"=>50}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>24}, "Computer Science"=>{"Computer Science"=>17}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Linguistics"=>{"Linguistics"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>22}, "Arts and Humanities"=>{"Arts and Humanities"=>2}}, "reader_count_by_country"=>{"Hungary"=>1, "United States"=>6, "Japan"=>1, "United Kingdom"=>1, "Spain"=>1, "Austria"=>1, "Turkey"=>1, "Belgium"=>1, "China"=>1, "Finland"=>1, "Italy"=>3, "Chile"=>1, "Germany"=>4}, "group_count"=>11}

CrossRef

Scopus | Further Information

{"@_fa"=>"true", "link"=>[{"@_fa"=>"true", "@ref"=>"self", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84865632744"}, {"@_fa"=>"true", "@ref"=>"author-affiliation", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84865632744?field=author,affiliation"}, {"@_fa"=>"true", "@ref"=>"scopus", "@href"=>"https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84865632744&origin=inward"}, {"@_fa"=>"true", "@ref"=>"scopus-citedby", "@href"=>"https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84865632744&origin=inward"}], "prism:url"=>"https://api.elsevier.com/content/abstract/scopus_id/84865632744", "dc:identifier"=>"SCOPUS_ID:84865632744", "eid"=>"2-s2.0-84865632744", "dc:title"=>"Consistency of Network Modules in Resting-State fMRI Connectome Data", "dc:creator"=>"Moussa M.", "prism:publicationName"=>"PLoS ONE", "prism:eIssn"=>"19326203", "prism:volume"=>"7", "prism:issueIdentifier"=>"8", "prism:pageRange"=>nil, "prism:coverDate"=>"2012-08-31", "prism:coverDisplayDate"=>"31 August 2012", "prism:doi"=>"10.1371/journal.pone.0044428", "citedby-count"=>"82", "affiliation"=>[{"@_fa"=>"true", "affilname"=>"Wake Forest School of Medicine", "affiliation-city"=>"Winston Salem", "affiliation-country"=>"United States"}], "pubmed-id"=>"22952978", "prism:aggregationType"=>"Journal", "subtype"=>"ar", "subtypeDescription"=>"Article", "article-number"=>"e44428", "source-id"=>"10600153309", "openaccess"=>"1", "openaccessFlag"=>true}

Facebook

  • {"url"=>"http%3A%2F%2Fjournals.plos.org%2Fplosone%2Farticle%3Fid%3D10.1371%252Fjournal.pone.0044428", "share_count"=>0, "like_count"=>0, "comment_count"=>0, "click_count"=>0, "total_count"=>0}

Counter

  • {"month"=>"8", "year"=>"2012", "pdf_views"=>"6", "xml_views"=>"1", "html_views"=>"68"}
  • {"month"=>"9", "year"=>"2012", "pdf_views"=>"133", "xml_views"=>"7", "html_views"=>"557"}
  • {"month"=>"10", "year"=>"2012", "pdf_views"=>"41", "xml_views"=>"2", "html_views"=>"90"}
  • {"month"=>"11", "year"=>"2012", "pdf_views"=>"31", "xml_views"=>"1", "html_views"=>"83"}
  • {"month"=>"12", "year"=>"2012", "pdf_views"=>"26", "xml_views"=>"0", "html_views"=>"143"}
  • {"month"=>"1", "year"=>"2013", "pdf_views"=>"47", "xml_views"=>"1", "html_views"=>"199"}
  • {"month"=>"2", "year"=>"2013", "pdf_views"=>"26", "xml_views"=>"1", "html_views"=>"144"}
  • {"month"=>"3", "year"=>"2013", "pdf_views"=>"43", "xml_views"=>"1", "html_views"=>"151"}
  • {"month"=>"4", "year"=>"2013", "pdf_views"=>"45", "xml_views"=>"1", "html_views"=>"183"}
  • {"month"=>"5", "year"=>"2013", "pdf_views"=>"36", "xml_views"=>"0", "html_views"=>"141"}
  • {"month"=>"6", "year"=>"2013", "pdf_views"=>"37", "xml_views"=>"0", "html_views"=>"144"}
  • {"month"=>"7", "year"=>"2013", "pdf_views"=>"34", "xml_views"=>"1", "html_views"=>"116"}
  • {"month"=>"8", "year"=>"2013", "pdf_views"=>"29", "xml_views"=>"0", "html_views"=>"128"}
  • {"month"=>"9", "year"=>"2013", "pdf_views"=>"22", "xml_views"=>"0", "html_views"=>"80"}
  • {"month"=>"10", "year"=>"2013", "pdf_views"=>"44", "xml_views"=>"3", "html_views"=>"237"}
  • {"month"=>"11", "year"=>"2013", "pdf_views"=>"36", "xml_views"=>"1", "html_views"=>"204"}
  • {"month"=>"12", "year"=>"2013", "pdf_views"=>"29", "xml_views"=>"0", "html_views"=>"161"}
  • {"month"=>"1", "year"=>"2014", "pdf_views"=>"508", "xml_views"=>"1", "html_views"=>"160"}
  • {"month"=>"2", "year"=>"2014", "pdf_views"=>"427", "xml_views"=>"0", "html_views"=>"144"}
  • {"month"=>"3", "year"=>"2014", "pdf_views"=>"18", "xml_views"=>"2", "html_views"=>"189"}
  • {"month"=>"4", "year"=>"2014", "pdf_views"=>"25", "xml_views"=>"3", "html_views"=>"122"}
  • {"month"=>"5", "year"=>"2014", "pdf_views"=>"24", "xml_views"=>"1", "html_views"=>"152"}
  • {"month"=>"6", "year"=>"2014", "pdf_views"=>"18", "xml_views"=>"0", "html_views"=>"96"}
  • {"month"=>"7", "year"=>"2014", "pdf_views"=>"29", "xml_views"=>"2", "html_views"=>"129"}
  • {"month"=>"8", "year"=>"2014", "pdf_views"=>"56", "xml_views"=>"4", "html_views"=>"197"}
  • {"month"=>"9", "year"=>"2014", "pdf_views"=>"41", "xml_views"=>"1", "html_views"=>"191"}
  • {"month"=>"10", "year"=>"2014", "pdf_views"=>"45", "xml_views"=>"1", "html_views"=>"204"}
  • {"month"=>"11", "year"=>"2014", "pdf_views"=>"28", "xml_views"=>"2", "html_views"=>"147"}
  • {"month"=>"12", "year"=>"2014", "pdf_views"=>"21", "xml_views"=>"2", "html_views"=>"139"}
  • {"month"=>"1", "year"=>"2015", "pdf_views"=>"62", "xml_views"=>"1", "html_views"=>"176"}
  • {"month"=>"2", "year"=>"2015", "pdf_views"=>"12", "xml_views"=>"0", "html_views"=>"88"}
  • {"month"=>"3", "year"=>"2015", "pdf_views"=>"23", "xml_views"=>"0", "html_views"=>"94"}
  • {"month"=>"4", "year"=>"2015", "pdf_views"=>"24", "xml_views"=>"1", "html_views"=>"92"}
  • {"month"=>"5", "year"=>"2015", "pdf_views"=>"18", "xml_views"=>"0", "html_views"=>"80"}
  • {"month"=>"6", "year"=>"2015", "pdf_views"=>"31", "xml_views"=>"1", "html_views"=>"110"}
  • {"month"=>"7", "year"=>"2015", "pdf_views"=>"26", "xml_views"=>"0", "html_views"=>"67"}
  • {"month"=>"8", "year"=>"2015", "pdf_views"=>"13", "xml_views"=>"2", "html_views"=>"84"}
  • {"month"=>"9", "year"=>"2015", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"112"}
  • {"month"=>"10", "year"=>"2015", "pdf_views"=>"18", "xml_views"=>"0", "html_views"=>"126"}
  • {"month"=>"11", "year"=>"2015", "pdf_views"=>"15", "xml_views"=>"0", "html_views"=>"150"}
  • {"month"=>"12", "year"=>"2015", "pdf_views"=>"23", "xml_views"=>"0", "html_views"=>"158"}
  • {"month"=>"1", "year"=>"2016", "pdf_views"=>"35", "xml_views"=>"1", "html_views"=>"209"}
  • {"month"=>"2", "year"=>"2016", "pdf_views"=>"15", "xml_views"=>"0", "html_views"=>"146"}
  • {"month"=>"3", "year"=>"2016", "pdf_views"=>"21", "xml_views"=>"0", "html_views"=>"172"}
  • {"month"=>"4", "year"=>"2016", "pdf_views"=>"19", "xml_views"=>"0", "html_views"=>"112"}
  • {"month"=>"5", "year"=>"2016", "pdf_views"=>"26", "xml_views"=>"0", "html_views"=>"113"}
  • {"month"=>"6", "year"=>"2016", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"97"}
  • {"month"=>"7", "year"=>"2016", "pdf_views"=>"16", "xml_views"=>"0", "html_views"=>"78"}
  • {"month"=>"8", "year"=>"2016", "pdf_views"=>"26", "xml_views"=>"0", "html_views"=>"163"}
  • {"month"=>"9", "year"=>"2016", "pdf_views"=>"25", "xml_views"=>"0", "html_views"=>"140"}
  • {"month"=>"10", "year"=>"2016", "pdf_views"=>"27", "xml_views"=>"0", "html_views"=>"143"}
  • {"month"=>"11", "year"=>"2016", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"100"}
  • {"month"=>"12", "year"=>"2016", "pdf_views"=>"20", "xml_views"=>"0", "html_views"=>"88"}
  • {"month"=>"1", "year"=>"2017", "pdf_views"=>"31", "xml_views"=>"1", "html_views"=>"91"}
  • {"month"=>"2", "year"=>"2017", "pdf_views"=>"24", "xml_views"=>"0", "html_views"=>"81"}
  • {"month"=>"3", "year"=>"2017", "pdf_views"=>"25", "xml_views"=>"0", "html_views"=>"83"}
  • {"month"=>"4", "year"=>"2017", "pdf_views"=>"21", "xml_views"=>"0", "html_views"=>"90"}
  • {"month"=>"5", "year"=>"2017", "pdf_views"=>"24", "xml_views"=>"0", "html_views"=>"61"}
  • {"month"=>"6", "year"=>"2017", "pdf_views"=>"38", "xml_views"=>"1", "html_views"=>"97"}
  • {"month"=>"7", "year"=>"2017", "pdf_views"=>"38", "xml_views"=>"3", "html_views"=>"96"}
  • {"month"=>"8", "year"=>"2017", "pdf_views"=>"24", "xml_views"=>"1", "html_views"=>"152"}
  • {"month"=>"9", "year"=>"2017", "pdf_views"=>"23", "xml_views"=>"1", "html_views"=>"96"}
  • {"month"=>"10", "year"=>"2017", "pdf_views"=>"17", "xml_views"=>"2", "html_views"=>"58"}
  • {"month"=>"11", "year"=>"2017", "pdf_views"=>"13", "xml_views"=>"1", "html_views"=>"89"}
  • {"month"=>"12", "year"=>"2017", "pdf_views"=>"14", "xml_views"=>"1", "html_views"=>"65"}
  • {"month"=>"1", "year"=>"2018", "pdf_views"=>"28", "xml_views"=>"1", "html_views"=>"82"}
  • {"month"=>"2", "year"=>"2018", "pdf_views"=>"25", "xml_views"=>"0", "html_views"=>"36"}
  • {"month"=>"3", "year"=>"2018", "pdf_views"=>"23", "xml_views"=>"1", "html_views"=>"48"}
  • {"month"=>"4", "year"=>"2018", "pdf_views"=>"28", "xml_views"=>"0", "html_views"=>"44"}
  • {"month"=>"5", "year"=>"2018", "pdf_views"=>"20", "xml_views"=>"2", "html_views"=>"44"}
  • {"month"=>"6", "year"=>"2018", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"30"}
  • {"month"=>"7", "year"=>"2018", "pdf_views"=>"20", "xml_views"=>"3", "html_views"=>"29"}
  • {"month"=>"8", "year"=>"2018", "pdf_views"=>"10", "xml_views"=>"1", "html_views"=>"17"}
  • {"month"=>"9", "year"=>"2018", "pdf_views"=>"16", "xml_views"=>"0", "html_views"=>"17"}
  • {"month"=>"10", "year"=>"2018", "pdf_views"=>"15", "xml_views"=>"1", "html_views"=>"26"}
  • {"month"=>"11", "year"=>"2018", "pdf_views"=>"20", "xml_views"=>"0", "html_views"=>"23"}
  • {"month"=>"12", "year"=>"2018", "pdf_views"=>"11", "xml_views"=>"0", "html_views"=>"18"}
  • {"month"=>"1", "year"=>"2019", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"11"}
  • {"month"=>"2", "year"=>"2019", "pdf_views"=>"18", "xml_views"=>"0", "html_views"=>"26"}
  • {"month"=>"3", "year"=>"2019", "pdf_views"=>"20", "xml_views"=>"0", "html_views"=>"32"}
  • {"month"=>"4", "year"=>"2019", "pdf_views"=>"15", "xml_views"=>"0", "html_views"=>"30"}
  • {"month"=>"5", "year"=>"2019", "pdf_views"=>"23", "xml_views"=>"0", "html_views"=>"31"}
  • {"month"=>"6", "year"=>"2019", "pdf_views"=>"14", "xml_views"=>"0", "html_views"=>"13"}
  • {"month"=>"7", "year"=>"2019", "pdf_views"=>"12", "xml_views"=>"2", "html_views"=>"19"}
  • {"month"=>"8", "year"=>"2019", "pdf_views"=>"26", "xml_views"=>"0", "html_views"=>"23"}
  • {"month"=>"9", "year"=>"2019", "pdf_views"=>"18", "xml_views"=>"0", "html_views"=>"20"}
  • {"month"=>"10", "year"=>"2019", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"21"}
  • {"month"=>"11", "year"=>"2019", "pdf_views"=>"22", "xml_views"=>"1", "html_views"=>"25"}
  • {"month"=>"12", "year"=>"2019", "pdf_views"=>"14", "xml_views"=>"2", "html_views"=>"22"}
  • {"month"=>"1", "year"=>"2020", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"32"}
  • {"month"=>"2", "year"=>"2020", "pdf_views"=>"15", "xml_views"=>"1", "html_views"=>"35"}
  • {"month"=>"3", "year"=>"2020", "pdf_views"=>"24", "xml_views"=>"1", "html_views"=>"15"}
  • {"month"=>"4", "year"=>"2020", "pdf_views"=>"43", "xml_views"=>"0", "html_views"=>"24"}
  • {"month"=>"5", "year"=>"2020", "pdf_views"=>"44", "xml_views"=>"1", "html_views"=>"31"}
  • {"month"=>"6", "year"=>"2020", "pdf_views"=>"21", "xml_views"=>"1", "html_views"=>"24"}
  • {"month"=>"7", "year"=>"2020", "pdf_views"=>"14", "xml_views"=>"0", "html_views"=>"37"}
  • {"month"=>"8", "year"=>"2020", "pdf_views"=>"0", "xml_views"=>"0", "html_views"=>"7"}

Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/583239"], "description"=>"<p>Three resting state networks (RSNs) exhibited attenuated consistency across subjects, relative to those shown in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0044428#pone-0044428-g002\" target=\"_blank\">Figure 2</a>. Module-specific SI images are shown for the ventral attention network (superior parietal lobules, dorsal lateral prefrontal cortex and portions of the medial frontal gyrus, row 1), dorsal attention network (superior parietal lobules, intraparietal sulci, precentral and superior frontal gyri, row 2), and the cerebellum module (row 3).</p>", "links"=>[], "tags"=>["si", "images", "modules"], "article_id"=>253729, "categories"=>["Physiology", "Mathematics", "Biological Sciences", "Neuroscience", "Physics"], "users"=>["Malaak N. Moussa", "Matthew R. Steen", "Paul J. Laurienti", "Satoru Hayasaka"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044428.g004", "stats"=>{"downloads"=>2, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Module_specific_SI_images_of_modules_with_limited_consistency_/253729", "title"=>"Module-specific SI images of modules with limited consistency.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 00:03:38"}
  • {"files"=>["https://ndownloader.figshare.com/files/583905"], "description"=>"<p>For a particular node of interest, the most representative subject with the highest SI is determined from subject-specific SI maps (a). Then the modular organization of the representative subject’s network is examined, and the module containing the node of interest is identified as the representative module. Next, modules with any overlap with the representative module are identified, and the corresponding SI values are calculated (b). A weighted sum of the overlapping modules is calculated with the SI values as weights, summing modules centered around the representative module. The resulting module-specific SI shows the consistency of the representative module across subjects.</p>", "links"=>[], "tags"=>["schematic", "module-specific", "si"], "article_id"=>254404, "categories"=>["Physiology", "Mathematics", "Biological Sciences", "Neuroscience", "Physics"], "users"=>["Malaak N. Moussa", "Matthew R. Steen", "Paul J. Laurienti", "Satoru Hayasaka"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044428.g009", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_schematic_of_module_specific_SI_calculation_/254404", "title"=>"A schematic of module-specific SI calculation.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 00:07:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/583117"], "description"=>"<p>Of the four functional modules that were found to be highly consistent across subjects, two (motor/sensory cortices and the default mode) had multiple representative subjects that could have been chosen to calculate module-specific SI. Here we show that in each case the resulting module specific SI map is similar in the brain areas that are included as part of the overall module. For instance, images of the most representative subject by voxel location (<i>top panel</i>) show that two individuals are the most representative for the motor and sensory cortices, respectively. However, when each of these individuals was used to calculate module-specific SI it was found that the resulting module included both cortices.</p>", "links"=>[], "tags"=>["individuals", "module-specific", "si"], "article_id"=>253607, "categories"=>["Physiology", "Mathematics", "Biological Sciences", "Neuroscience", "Physics"], "users"=>["Malaak N. Moussa", "Matthew R. Steen", "Paul J. Laurienti", "Satoru Hayasaka"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044428.g003", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Multiple_representative_individuals_produce_similar_module_specific_SI_maps_/253607", "title"=>"Multiple representative individuals produce similar module-specific SI maps.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 00:02:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/583689"], "description"=>"<p>The distribution of the number of connections at each node, or degree, is plotted for each of the 194 subjects (blue), as well as for the average network (red). The Y-axis is the complimentary cumulative distribution (i.e., 1 minus the cumulative distribution function (CDF)). The average network has more low degree nodes than any of the other individual networks. The degree distribution of the average network, however, drops dramatically for degrees greater than 10, suggesting that there are fewer medium degree nodes.</p>", "links"=>[], "tags"=>["distributions"], "article_id"=>254185, "categories"=>["Physiology", "Mathematics", "Biological Sciences", "Neuroscience", "Physics"], "users"=>["Malaak N. Moussa", "Matthew R. Steen", "Paul J. Laurienti", "Satoru Hayasaka"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044428.g007", "stats"=>{"downloads"=>2, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Degree_distributions_of_the_average_network_and_individual_networks_/254185", "title"=>"Degree distributions of the average network and individual networks.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 00:06:12"}
  • {"files"=>["https://ndownloader.figshare.com/files/584045"], "description"=>"<p>Comparison of network characteristics between the average network and individual networks.</p>", "links"=>[], "tags"=>["characteristics"], "article_id"=>254539, "categories"=>["Physiology", "Mathematics", "Biological Sciences", "Neuroscience", "Physics"], "users"=>["Malaak N. Moussa", "Matthew R. Steen", "Paul J. Laurienti", "Satoru Hayasaka"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044428.t001", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_network_characteristics_between_the_average_network_and_individual_networks_/254539", "title"=>"Comparison of network characteristics between the average network and individual networks.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 00:08:14"}
  • {"files"=>["https://ndownloader.figshare.com/files/583799"], "description"=>"<p>Although the modular organization appears similar across subjects, modules slightly vary from subject to subject (a). Different colors denote nodes belonging to different modules. Among the subjects, one subject is chosen as the referent subject, and any overlap between that subject’s modules and any other modules from the other subjects are determined (b). This process results in maps of overlapping nodes between modules, along with SI values summarizing the fidelity of the overlaps. A weighted sum of the overlap maps, with the SI values as the weights, is calculated, yielding a subject-specific SI map (c). A weighted average of the subject-specific SI maps, with the Jaccard indices as weights, is then calculated, resulting in the global SI map summarizing the consistency of the modular organization across subjects at the nodal level (d).</p>", "links"=>[], "tags"=>["schematic", "si"], "article_id"=>254293, "categories"=>["Physiology", "Mathematics", "Biological Sciences", "Neuroscience", "Physics"], "users"=>["Malaak N. Moussa", "Matthew R. Steen", "Paul J. Laurienti", "Satoru Hayasaka"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044428.g008", "stats"=>{"downloads"=>2, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_schematic_of_global_SI_calculation_/254293", "title"=>"A schematic of global SI calculation.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 00:06:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/583401"], "description"=>"<p><i>a)</i> The modular structure of the average network, with each color indicating a distinct module. Note that the default mode network is split into two modules: <i>b)</i> anterior (medial frontal gyrus, green) and <i>c)</i> posterior (precuneus/posterior cingulate & inferior parietal lobes, red) modules. <i>d)</i> On the other hand, both anterior and posterior default mode regions appear consistent across subjects when analyzed using module-specific SI. <i>e)</i> Representative subjects from each of the four data sets confirm that both anterior and posterior portions of the DMN constitute one module at the individual level.</p>", "links"=>[], "tags"=>["modular"], "article_id"=>253895, "categories"=>["Physiology", "Mathematics", "Biological Sciences", "Neuroscience", "Physics"], "users"=>["Malaak N. Moussa", "Matthew R. Steen", "Paul J. Laurienti", "Satoru Hayasaka"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044428.g005", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_modular_structure_of_the_average_network_/253895", "title"=>"The modular structure of the average network.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 00:04:35"}
  • {"files"=>["https://ndownloader.figshare.com/files/582905"], "description"=>"<p><i>Row 1</i>: Four functional modules were found to be highly consistent across subjects. These modules include the visual (yellow), sensory/motor (orange) and basal ganglia (red) cortices as well as the default mode network (precuneus/posterior cingulate, inferior parietal lobes, and medial frontal gyrus; maroon). Overlap among these modules was present but minimal (white). <i>Rows 2–5</i>: Module-specific SI images for each of the four most consistent modules, namely the visual (row 2), sensory/motor (row 3), basal ganglia (row 4), and default mode (row 5) modules. Note that the visual, sensory/motor and basal ganglia all show higher consistency across subjects than the default mode module. Among the default mode areas, the precuneus and posterior cingulate cortex show the greatest consistency across subjects.</p>", "links"=>[], "tags"=>["si", "modules"], "article_id"=>253402, "categories"=>["Physiology", "Mathematics", "Biological Sciences", "Neuroscience", "Physics"], "users"=>["Malaak N. Moussa", "Matthew R. Steen", "Paul J. Laurienti", "Satoru Hayasaka"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044428.g002", "stats"=>{"downloads"=>2, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Module_specific_SI_of_four_most_consistent_modules_across_subjects_/253402", "title"=>"Module-specific SI of four most consistent modules across subjects.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 00:01:50"}
  • {"files"=>["https://ndownloader.figshare.com/files/582753"], "description"=>"<p>Global scaled inclusivity (SI) shows that several brain regions are consistently partitioned into the same modules across individuals. These areas include portions of the following cortices: visual, motor/sensory, precuneus/posterior cingulate, basal ganglia, and frontal.</p>", "links"=>[], "tags"=>["whole-brain", "modular"], "article_id"=>253243, "categories"=>["Physiology", "Mathematics", "Biological Sciences", "Neuroscience", "Physics"], "users"=>["Malaak N. Moussa", "Matthew R. Steen", "Paul J. Laurienti", "Satoru Hayasaka"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044428.g001", "stats"=>{"downloads"=>2, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Consistency_of_whole_brain_functional_modular_organization_across_subjects_/253243", "title"=>"Consistency of whole-brain functional modular organization across subjects.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 00:00:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/583578"], "description"=>"<p>Shown here are the modules from the average network that correspond to the module-specific SI images shown in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0044428#pone-0044428-g002\" target=\"_blank\">Figures 2</a> & <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0044428#pone-0044428-g004\" target=\"_blank\">4</a>. The modules from the average network that correspond to the motor/ sensory cortices, the basal ganglia and the cerebellum were found to be similar with respect to their corresponding module-specific SI image. However, two distinctions were found in addition to those demonstrated in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0044428#pone-0044428-g005\" target=\"_blank\">Figure 5</a>. First, the average visual module includes only the area of the primary visual cortex. This is in contrast to the module-specific SI image for the visual cortex shown in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0044428#pone-0044428-g002\" target=\"_blank\">Figure 2</a>, which extends into secondary visual cortices. Second, the average network segregates the anterior from the posterior portions of the ventral and dorsal attention systems. In this case, the anterior portion consists of two modules, one for each of the bilateral dorsal lateral prefrontal cortices. Interestingly the posterior element of both ventral and dorsal attention systems (superior parietal lobules) is not separated into bilateral portions. It does, however, include secondary sensory cortices S2.</p>", "links"=>[], "tags"=>["modules"], "article_id"=>254077, "categories"=>["Physiology", "Mathematics", "Biological Sciences", "Neuroscience", "Physics"], "users"=>["Malaak N. Moussa", "Matthew R. Steen", "Paul J. Laurienti", "Satoru Hayasaka"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044428.g006", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Selected_modules_from_the_average_network_/254077", "title"=>"Selected modules from the average network.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 00:05:36"}

PMC Usage Stats | Further Information

  • {"unique-ip"=>"36", "full-text"=>"30", "pdf"=>"28", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"13", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2012", "month"=>"9"}
  • {"unique-ip"=>"34", "full-text"=>"37", "pdf"=>"17", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2012", "month"=>"10"}
  • {"unique-ip"=>"18", "full-text"=>"18", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"9", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2012", "month"=>"12"}
  • {"unique-ip"=>"25", "full-text"=>"21", "pdf"=>"7", "abstract"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"1"}
  • {"unique-ip"=>"17", "full-text"=>"16", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"3"}
  • {"unique-ip"=>"22", "full-text"=>"25", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"2"}
  • {"unique-ip"=>"10", "full-text"=>"17", "pdf"=>"10", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"8", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"4"}
  • {"unique-ip"=>"25", "full-text"=>"18", "pdf"=>"23", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"13", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2012", "month"=>"11"}
  • {"unique-ip"=>"14", "full-text"=>"12", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"5"}
  • {"unique-ip"=>"16", "full-text"=>"12", "pdf"=>"7", "abstract"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"6"}
  • {"unique-ip"=>"13", "full-text"=>"16", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"7"}
  • {"unique-ip"=>"9", "full-text"=>"8", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"8"}
  • {"unique-ip"=>"4", "full-text"=>"5", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"9"}
  • {"unique-ip"=>"10", "full-text"=>"14", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"10"}
  • {"unique-ip"=>"23", "full-text"=>"23", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"11"}
  • {"unique-ip"=>"13", "full-text"=>"12", "pdf"=>"10", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"12"}
  • {"unique-ip"=>"6", "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"=>"1"}
  • {"unique-ip"=>"2", "full-text"=>"1", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"2"}
  • {"unique-ip"=>"5", "full-text"=>"6", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"3"}
  • {"unique-ip"=>"6", "full-text"=>"7", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"5"}
  • {"unique-ip"=>"6", "full-text"=>"9", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"6"}
  • {"unique-ip"=>"9", "full-text"=>"7", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"4"}
  • {"unique-ip"=>"24", "full-text"=>"25", "pdf"=>"11", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"4"}
  • {"unique-ip"=>"44", "full-text"=>"46", "pdf"=>"16", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"5"}
  • {"unique-ip"=>"63", "full-text"=>"82", "pdf"=>"23", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"8", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"6"}
  • {"unique-ip"=>"83", "full-text"=>"141", "pdf"=>"28", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"7"}
  • {"unique-ip"=>"22", "full-text"=>"30", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"3"}
  • {"unique-ip"=>"10", "full-text"=>"11", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"2"}
  • {"unique-ip"=>"41", "full-text"=>"103", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"8"}
  • {"unique-ip"=>"23", "full-text"=>"24", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"9"}
  • {"unique-ip"=>"32", "full-text"=>"33", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"10"}
  • {"unique-ip"=>"9", "full-text"=>"3", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"7"}
  • {"unique-ip"=>"20", "full-text"=>"15", "pdf"=>"11", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"8"}
  • {"unique-ip"=>"9", "full-text"=>"5", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"9"}
  • {"unique-ip"=>"11", "full-text"=>"11", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"10"}
  • {"unique-ip"=>"18", "full-text"=>"20", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
  • {"unique-ip"=>"6", "full-text"=>"3", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"11"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"12"}
  • {"unique-ip"=>"18", "full-text"=>"24", "pdf"=>"11", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"1"}
  • {"unique-ip"=>"48", "full-text"=>"49", "pdf"=>"13", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"2", "year"=>"2015", "month"=>"11"}
  • {"unique-ip"=>"24", "full-text"=>"26", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"12"}
  • {"unique-ip"=>"16", "full-text"=>"17", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"9", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"1"}
  • {"unique-ip"=>"22", "full-text"=>"24", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"19", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"3"}
  • {"unique-ip"=>"16", "full-text"=>"15", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
  • {"unique-ip"=>"11", "full-text"=>"10", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"5"}
  • {"unique-ip"=>"10", "full-text"=>"9", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
  • {"unique-ip"=>"6", "full-text"=>"4", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"7"}
  • {"unique-ip"=>"5", "full-text"=>"6", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"8"}
  • {"unique-ip"=>"8", "full-text"=>"10", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"9"}
  • {"unique-ip"=>"14", "full-text"=>"16", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"10"}
  • {"unique-ip"=>"18", "full-text"=>"17", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"11"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
  • {"unique-ip"=>"9", "full-text"=>"7", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2017", "month"=>"1"}
  • {"unique-ip"=>"9", "full-text"=>"5", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
  • {"unique-ip"=>"9", "full-text"=>"8", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
  • {"unique-ip"=>"14", "full-text"=>"12", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"4"}
  • {"unique-ip"=>"5", "full-text"=>"3", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"5"}
  • {"unique-ip"=>"9", "full-text"=>"8", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"6"}
  • {"unique-ip"=>"11", "full-text"=>"17", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
  • {"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"=>"2017", "month"=>"8"}
  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
  • {"unique-ip"=>"8", "full-text"=>"8", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
  • {"unique-ip"=>"18", "full-text"=>"17", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
  • {"unique-ip"=>"7", "full-text"=>"6", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
  • {"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"=>"2018", "month"=>"1"}
  • {"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"=>"2018", "month"=>"3"}
  • {"unique-ip"=>"23", "full-text"=>"27", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
  • {"unique-ip"=>"8", "full-text"=>"7", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
  • {"unique-ip"=>"5", "full-text"=>"4", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
  • {"unique-ip"=>"7", "full-text"=>"6", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2018", "month"=>"6"}
  • {"unique-ip"=>"8", "full-text"=>"8", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
  • {"unique-ip"=>"29", "full-text"=>"30", "pdf"=>"9", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"10", "full-text"=>"12", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"25", "full-text"=>"37", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"22", "full-text"=>"26", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"15", "full-text"=>"16", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"17", "full-text"=>"20", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"20", "full-text"=>"21", "pdf"=>"8", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"26", "full-text"=>"30", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"19", "full-text"=>"18", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"15", "full-text"=>"20", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"26", "full-text"=>"30", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}
  • {"unique-ip"=>"12", "full-text"=>"16", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"12"}
  • {"unique-ip"=>"30", "full-text"=>"33", "pdf"=>"9", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"2"}
  • {"unique-ip"=>"27", "full-text"=>"27", "pdf"=>"8", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"3"}
  • {"unique-ip"=>"20", "full-text"=>"20", "pdf"=>"8", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"8", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"4"}
  • {"unique-ip"=>"29", "full-text"=>"33", "pdf"=>"8", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"5"}
  • {"unique-ip"=>"36", "full-text"=>"37", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"6"}

Relative Metric

{"start_date"=>"2012-01-01T00:00:00Z", "end_date"=>"2012-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[322, 550, 671, 773, 864, 955, 1048, 1135, 1223, 1308, 1387, 1465, 1534, 1602, 1673, 1744, 1813, 1885, 1955, 2026, 2093, 2160, 2228, 2290, 2349]}, {"subject_area"=>"/Biology and life sciences/Psychology", "average_usage"=>[328, 561, 679, 772, 852, 944, 1035, 1122, 1197, 1277, 1354, 1416, 1479, 1549, 1615, 1679, 1740, 1807, 1870, 1937, 1996, 2059, 2118, 2179, 2244]}, {"subject_area"=>"/Computer and information sciences/Neural networks", "average_usage"=>[385, 629, 754, 840, 925, 1006, 1120, 1211, 1283, 1380, 1441, 1509, 1565, 1639, 1703, 1737, 1808, 1859, 1995, 2078, 2148, 2197, 2234, 2286, 2362]}, {"subject_area"=>"/Medicine and health sciences/Anatomy and physiology", "average_usage"=>[308, 539, 659, 759, 852, 941, 1028, 1113, 1197, 1275, 1353, 1423]}, {"subject_area"=>"/Social sciences/Psychology", "average_usage"=>[336, 562, 679, 770, 848, 938, 1036, 1125, 1198, 1287, 1364, 1425, 1488, 1556, 1618, 1687, 1756, 1817, 1879, 1943, 2011, 2065, 2118, 2186, 2243]}]}
Loading … Spinner
There are currently no alerts