Tracking Second Thoughts: Continuous and Discrete Revision Processes during Visual Lexical Decision
Events
Loading … Spinner

Mendeley | Further Information

{"title"=>"Tracking second thoughts: Continuous and discrete revision processes during visual lexical decision", "type"=>"journal", "authors"=>[{"first_name"=>"Laura", "last_name"=>"Barca", "scopus_author_id"=>"55973542900"}, {"first_name"=>"Giovanni", "last_name"=>"Pezzulo", "scopus_author_id"=>"6508225279"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "pui"=>"602525023", "sgr"=>"84923683700", "doi"=>"10.1371/journal.pone.0116193", "scopus"=>"2-s2.0-84923683700", "isbn"=>"1932-6203", "pmid"=>"25699992"}, "id"=>"4ce09502-2e0a-3843-b892-7d0b876cc4a9", "abstract"=>"We studied the dynamics of lexical decisions by asking participants to categorize lexical and nonlexical stimuli and recording their mouse movements toward response buttons dur- ing the choice. In a previous report we revealed greater trajectory curvature and attraction to competitors for Low Frequency words and Pseudowords. This analysis did not clarify whether the trajectory curvature in the two conditions was due to a continuous dynamic competition between the response alternatives or if a discrete revision process (a \"change of mind\") took place during the choice from an initially selected response to the opposite one. To disentangle these two possibilities, here we analyse the velocity and acceleration profiles of mousemovements during the choice. Pseudowords' peak movement velocity oc- curred with 100ms delay with respect to words and Letters Strings. Acceleration profile for High and Low Frequency words and Letters Strings exhibited a butterfly plot with one accel- eration peak at 400ms and one deceleration peak at 650ms. Differently, Pseudowords' ac- celeration profile had double positive peaks (at 400 and 600ms) followed by movement deceleration, in correspondence with changes in the decision from lexical to nonlexical re- sponse buttons. These results speak to different online processes during the categorization of Low Frequency words and Pseudowords, with a continuous competition process for the former and a discrete revision process for the latter.", "link"=>"http://www.mendeley.com/research/tracking-second-thoughts-continuous-discrete-revision-processes-during-visual-lexical-decision", "reader_count"=>31, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>6, "Other"=>2, "Student > Master"=>5, "Student > Bachelor"=>5, "Lecturer"=>3, "Lecturer > Senior Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>6, "Other"=>2, "Student > Master"=>5, "Student > Bachelor"=>5, "Lecturer"=>3, "Lecturer > Senior Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Engineering"=>2, "Agricultural and Biological Sciences"=>1, "Arts and Humanities"=>1, "Neuroscience"=>2, "Psychology"=>22, "Decision Sciences"=>1, "Linguistics"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>2}, "Neuroscience"=>{"Neuroscience"=>2}, "Decision Sciences"=>{"Decision Sciences"=>1}, "Psychology"=>{"Psychology"=>22}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Linguistics"=>{"Linguistics"=>1}, "Unspecified"=>{"Unspecified"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"Colombia"=>2, "Italy"=>1, "United Kingdom"=>1}, "group_count"=>2}

Scopus | Further Information

{"@_fa"=>"true", "link"=>[{"@_fa"=>"true", "@ref"=>"self", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84923683700"}, {"@_fa"=>"true", "@ref"=>"author-affiliation", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84923683700?field=author,affiliation"}, {"@_fa"=>"true", "@ref"=>"scopus", "@href"=>"https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84923683700&origin=inward"}, {"@_fa"=>"true", "@ref"=>"scopus-citedby", "@href"=>"https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84923683700&origin=inward"}], "prism:url"=>"https://api.elsevier.com/content/abstract/scopus_id/84923683700", "dc:identifier"=>"SCOPUS_ID:84923683700", "eid"=>"2-s2.0-84923683700", "dc:title"=>"Tracking second thoughts: Continuous and discrete revision processes during visual lexical decision", "dc:creator"=>"Barca L.", "prism:publicationName"=>"PLoS ONE", "prism:eIssn"=>"19326203", "prism:volume"=>"10", "prism:issueIdentifier"=>"2", "prism:pageRange"=>nil, "prism:coverDate"=>"2015-02-20", "prism:coverDisplayDate"=>"20 February 2015", "prism:doi"=>"10.1371/journal.pone.0116193", "citedby-count"=>"17", "affiliation"=>[{"@_fa"=>"true", "affilname"=>"Istituto Di Scienze E Tecnologie Della Cognizione, Rome", "affiliation-city"=>"Rome", "affiliation-country"=>"Italy"}], "pubmed-id"=>"25699992", "prism:aggregationType"=>"Journal", "subtype"=>"ar", "subtypeDescription"=>"Article", "article-number"=>"e0116193", "source-id"=>"10600153309", "openaccess"=>"1", "openaccessFlag"=>true}

Facebook

  • {"url"=>"http%3A%2F%2Fjournals.plos.org%2Fplosone%2Farticle%3Fid%3D10.1371%252Fjournal.pone.0116193", "share_count"=>0, "like_count"=>0, "comment_count"=>0, "click_count"=>0, "total_count"=>0}

Counter

  • {"month"=>"2", "year"=>"2015", "pdf_views"=>"69", "xml_views"=>"30", "html_views"=>"1171"}
  • {"month"=>"3", "year"=>"2015", "pdf_views"=>"12", "xml_views"=>"1", "html_views"=>"102"}
  • {"month"=>"4", "year"=>"2015", "pdf_views"=>"9", "xml_views"=>"1", "html_views"=>"30"}
  • {"month"=>"5", "year"=>"2015", "pdf_views"=>"6", "xml_views"=>"4", "html_views"=>"60"}
  • {"month"=>"6", "year"=>"2015", "pdf_views"=>"8", "xml_views"=>"2", "html_views"=>"25"}
  • {"month"=>"7", "year"=>"2015", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"32"}
  • {"month"=>"8", "year"=>"2015", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"32"}
  • {"month"=>"9", "year"=>"2015", "pdf_views"=>"11", "xml_views"=>"1", "html_views"=>"45"}
  • {"month"=>"10", "year"=>"2015", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"71"}
  • {"month"=>"11", "year"=>"2015", "pdf_views"=>"8", "xml_views"=>"1", "html_views"=>"73"}
  • {"month"=>"12", "year"=>"2015", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"26"}
  • {"month"=>"1", "year"=>"2016", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"35"}
  • {"month"=>"2", "year"=>"2016", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"35"}
  • {"month"=>"3", "year"=>"2016", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"33"}
  • {"month"=>"4", "year"=>"2016", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"32"}
  • {"month"=>"5", "year"=>"2016", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"18"}
  • {"month"=>"6", "year"=>"2016", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"34"}
  • {"month"=>"7", "year"=>"2016", "pdf_views"=>"2", "xml_views"=>"0", "html_views"=>"13"}
  • {"month"=>"8", "year"=>"2016", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"19"}
  • {"month"=>"9", "year"=>"2016", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"33"}
  • {"month"=>"10", "year"=>"2016", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"16"}
  • {"month"=>"11", "year"=>"2016", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"24"}
  • {"month"=>"12", "year"=>"2016", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"16"}
  • {"month"=>"1", "year"=>"2017", "pdf_views"=>"2", "xml_views"=>"0", "html_views"=>"20"}
  • {"month"=>"2", "year"=>"2017", "pdf_views"=>"1", "xml_views"=>"0", "html_views"=>"27"}
  • {"month"=>"3", "year"=>"2017", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"27"}
  • {"month"=>"4", "year"=>"2017", "pdf_views"=>"16", "xml_views"=>"0", "html_views"=>"27"}
  • {"month"=>"5", "year"=>"2017", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"18"}
  • {"month"=>"6", "year"=>"2017", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"31"}
  • {"month"=>"7", "year"=>"2017", "pdf_views"=>"1", "xml_views"=>"1", "html_views"=>"18"}
  • {"month"=>"8", "year"=>"2017", "pdf_views"=>"6", "xml_views"=>"1", "html_views"=>"19"}
  • {"month"=>"9", "year"=>"2017", "pdf_views"=>"7", "xml_views"=>"1", "html_views"=>"14"}
  • {"month"=>"10", "year"=>"2017", "pdf_views"=>"8", "xml_views"=>"2", "html_views"=>"41"}
  • {"month"=>"11", "year"=>"2017", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"57"}
  • {"month"=>"12", "year"=>"2017", "pdf_views"=>"9", "xml_views"=>"1", "html_views"=>"92"}
  • {"month"=>"1", "year"=>"2018", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"20"}
  • {"month"=>"2", "year"=>"2018", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"9"}
  • {"month"=>"3", "year"=>"2018", "pdf_views"=>"2", "xml_views"=>"0", "html_views"=>"18"}
  • {"month"=>"4", "year"=>"2018", "pdf_views"=>"2", "xml_views"=>"0", "html_views"=>"13"}
  • {"month"=>"5", "year"=>"2018", "pdf_views"=>"7", "xml_views"=>"2", "html_views"=>"7"}
  • {"month"=>"6", "year"=>"2018", "pdf_views"=>"7", "xml_views"=>"1", "html_views"=>"22"}
  • {"month"=>"7", "year"=>"2018", "pdf_views"=>"7", "xml_views"=>"3", "html_views"=>"9"}
  • {"month"=>"8", "year"=>"2018", "pdf_views"=>"2", "xml_views"=>"1", "html_views"=>"14"}
  • {"month"=>"9", "year"=>"2018", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"8"}
  • {"month"=>"10", "year"=>"2018", "pdf_views"=>"8", "xml_views"=>"1", "html_views"=>"21"}
  • {"month"=>"11", "year"=>"2018", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"11"}
  • {"month"=>"12", "year"=>"2018", "pdf_views"=>"6", "xml_views"=>"1", "html_views"=>"13"}
  • {"month"=>"1", "year"=>"2019", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"11"}
  • {"month"=>"2", "year"=>"2019", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"14"}
  • {"month"=>"3", "year"=>"2019", "pdf_views"=>"19", "xml_views"=>"0", "html_views"=>"23"}
  • {"month"=>"4", "year"=>"2019", "pdf_views"=>"10", "xml_views"=>"0", "html_views"=>"18"}
  • {"month"=>"5", "year"=>"2019", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"17"}

Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1914298"], "description"=>"<p>Mean trajectories (panel A) and Euclidean based x-y acceleration profile (panel B) for trials marked as having a reversal or no reversal.</p>", "links"=>[], "tags"=>["revision process", "choice", "Visual Lexical Decision", "pseudoword", "100 ms delay", "Discrete Revision Processes", "mouse movements", "deceleration", "Letters Strings", "trajectory curvature", "peak movement velocity", "acceleration", "Low Frequency words", "profile", "nonlexical response buttons"], "article_id"=>1313805, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Laura Barca", "Giovanni Pezzulo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0116193.g004", "stats"=>{"downloads"=>5, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Pseudowords_8217_reversal_/1313805", "title"=>"Pseudowords’ reversal.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-02-20 02:45:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/1914294"], "description"=>"<p>X-acceleration profile for each stimulus condition.</p>", "links"=>[], "tags"=>["revision process", "choice", "Visual Lexical Decision", "pseudoword", "100 ms delay", "Discrete Revision Processes", "mouse movements", "deceleration", "Letters Strings", "trajectory curvature", "peak movement velocity", "acceleration", "Low Frequency words", "profile", "nonlexical response buttons"], "article_id"=>1313801, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Laura Barca", "Giovanni Pezzulo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0116193.g003", "stats"=>{"downloads"=>1, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_X_acceleration_profile_for_each_stimulus_condition_/1313801", "title"=>"X-acceleration profile for each stimulus condition.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-02-20 02:45:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/1914292"], "description"=>"<p>X-velocity profile for each stimulus condition.</p>", "links"=>[], "tags"=>["revision process", "choice", "Visual Lexical Decision", "pseudoword", "100 ms delay", "Discrete Revision Processes", "mouse movements", "deceleration", "Letters Strings", "trajectory curvature", "peak movement velocity", "acceleration", "Low Frequency words", "profile", "nonlexical response buttons"], "article_id"=>1313799, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Laura Barca", "Giovanni Pezzulo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0116193.g002", "stats"=>{"downloads"=>7, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_X_velocity_profile_for_each_stimulus_condition_/1313799", "title"=>"X-velocity profile for each stimulus condition.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-02-20 02:45:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/1914303"], "description"=>"<p>Summaries of posterior distributions for the derived parameters: difference in means (muDiff), difference in standard deviation (sigma Diff) and effect size (effSz). Probabilities that the difference in means (probDiffmu>0) and standard deviation (probDiffsigma>0) are greater than zero are also reported.</p><p>Bayesian Parameter Estimation on acceleration data.</p>", "links"=>[], "tags"=>["revision process", "choice", "Visual Lexical Decision", "pseudoword", "100 ms delay", "Discrete Revision Processes", "mouse movements", "deceleration", "Letters Strings", "trajectory curvature", "peak movement velocity", "acceleration", "Low Frequency words", "profile", "nonlexical response buttons"], "article_id"=>1313809, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Laura Barca", "Giovanni Pezzulo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0116193.t003", "stats"=>{"downloads"=>3, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Bayesian_Parameter_Estimation_on_acceleration_data_/1313809", "title"=>"Bayesian Parameter Estimation on acceleration data.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-02-20 02:45:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/1914301"], "description"=>"<p>Movement, acceleration and deceleration peaks.</p>", "links"=>[], "tags"=>["revision process", "choice", "Visual Lexical Decision", "pseudoword", "100 ms delay", "Discrete Revision Processes", "mouse movements", "deceleration", "Letters Strings", "trajectory curvature", "peak movement velocity", "acceleration", "Low Frequency words", "profile", "nonlexical response buttons"], "article_id"=>1313807, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Laura Barca", "Giovanni Pezzulo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0116193.t001", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Movement_acceleration_and_deceleration_peaks_/1313807", "title"=>"Movement, acceleration and deceleration peaks.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-02-20 02:45:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/1914302"], "description"=>"<p>Summaries of posterior distributions for the derived parameters: difference in means (muDiff), difference in standard deviation (sigmaDiff) and effect size (effSz). Probabilities that the difference in means (probDiffmu>0) and standard deviation (probDiffsigma>0) are greater than zero are also reported.</p><p>Bayesian Parameter Estimation on velocity data.</p>", "links"=>[], "tags"=>["revision process", "choice", "Visual Lexical Decision", "pseudoword", "100 ms delay", "Discrete Revision Processes", "mouse movements", "deceleration", "Letters Strings", "trajectory curvature", "peak movement velocity", "acceleration", "Low Frequency words", "profile", "nonlexical response buttons"], "article_id"=>1313808, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Laura Barca", "Giovanni Pezzulo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0116193.t002", "stats"=>{"downloads"=>4, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Bayesian_Parameter_Estimation_on_velocity_data_/1313808", "title"=>"Bayesian Parameter Estimation on velocity data.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-02-20 02:45:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/1914300"], "description"=>"<p>Reversal and no reversal Pseudowords' trajectories for individual participants.</p>", "links"=>[], "tags"=>["revision process", "choice", "Visual Lexical Decision", "pseudoword", "100 ms delay", "Discrete Revision Processes", "mouse movements", "deceleration", "Letters Strings", "trajectory curvature", "peak movement velocity", "acceleration", "Low Frequency words", "profile", "nonlexical response buttons"], "article_id"=>1313806, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Laura Barca", "Giovanni Pezzulo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0116193.g005", "stats"=>{"downloads"=>5, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Reversal_and_no_reversal_Pseudowords_trajectories_for_individual_participants_/1313806", "title"=>"Reversal and no reversal Pseudowords' trajectories for individual participants.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-02-20 02:45:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/1914290"], "description"=>"<p>Panel A: mean trajectories for experimental conditions (modified by [<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0116193#pone.0116193.ref010\" target=\"_blank\">10</a>]). Panel B: x-coordinate time course on normalized time.</p>", "links"=>[], "tags"=>["revision process", "choice", "Visual Lexical Decision", "pseudoword", "100 ms delay", "Discrete Revision Processes", "mouse movements", "deceleration", "Letters Strings", "trajectory curvature", "peak movement velocity", "acceleration", "Low Frequency words", "profile", "nonlexical response buttons"], "article_id"=>1313797, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Laura Barca", "Giovanni Pezzulo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0116193.g001", "stats"=>{"downloads"=>0, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Movement_trajectories_for_correct_categorization_/1313797", "title"=>"Movement trajectories for correct categorization.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-02-20 02:45:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/1914304"], "description"=>"<p>Summaries of posterior distributions for the derived parameters: difference in means (muDiff), difference in standard deviation (sigmaDiff) and effect size (effSz). Probabilities that the difference in means (probDiffmu>0) and standard deviation (probDiffsigma>0) are greater than zero are also reported.</p><p>Bayesian Parameter Estimation on reversal and no reversal Pseudoword's trajectories.</p>", "links"=>[], "tags"=>["revision process", "choice", "Visual Lexical Decision", "pseudoword", "100 ms delay", "Discrete Revision Processes", "mouse movements", "deceleration", "Letters Strings", "trajectory curvature", "peak movement velocity", "acceleration", "Low Frequency words", "profile", "nonlexical response buttons"], "article_id"=>1313810, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Laura Barca", "Giovanni Pezzulo"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0116193.t004", "stats"=>{"downloads"=>3, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Bayesian_Parameter_Estimation_on_reversal_and_no_reversal_Pseudoword_s_trajectories_/1313810", "title"=>"Bayesian Parameter Estimation on reversal and no reversal Pseudoword's trajectories.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-02-20 02:45:57"}

PMC Usage Stats | Further Information

  • {"unique-ip"=>"3", "full-text"=>"5", "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"=>"9", "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"=>"5"}
  • {"unique-ip"=>"10", "full-text"=>"8", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"6"}
  • {"unique-ip"=>"10", "full-text"=>"9", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"7"}
  • {"unique-ip"=>"10", "full-text"=>"9", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"3"}
  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2015", "month"=>"8"}
  • {"unique-ip"=>"16", "full-text"=>"17", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"10", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"9"}
  • {"unique-ip"=>"11", "full-text"=>"9", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"10"}
  • {"unique-ip"=>"4", "full-text"=>"3", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
  • {"unique-ip"=>"10", "full-text"=>"5", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"2", "year"=>"2015", "month"=>"11"}
  • {"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"=>"2015", "month"=>"12"}
  • {"unique-ip"=>"14", "full-text"=>"11", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"1"}
  • {"unique-ip"=>"6", "full-text"=>"10", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"3"}
  • {"unique-ip"=>"6", "full-text"=>"9", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
  • {"unique-ip"=>"7", "full-text"=>"8", "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"=>"3", "full-text"=>"1", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
  • {"unique-ip"=>"2", "full-text"=>"4", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2016", "month"=>"7"}
  • {"unique-ip"=>"3", "full-text"=>"4", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"8"}
  • {"unique-ip"=>"5", "full-text"=>"7", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"9"}
  • {"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"=>"10"}
  • {"unique-ip"=>"7", "full-text"=>"8", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"11"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2016", "month"=>"12"}
  • {"unique-ip"=>"9", "full-text"=>"5", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"1"}
  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
  • {"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"=>"2017", "month"=>"3"}
  • {"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"=>"2017", "month"=>"4"}
  • {"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"=>"2017", "month"=>"5"}
  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "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"=>"2017", "month"=>"7"}
  • {"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"=>"8"}
  • {"unique-ip"=>"5", "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"=>"9"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
  • {"unique-ip"=>"5", "full-text"=>"4", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
  • {"unique-ip"=>"6", "full-text"=>"7", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
  • {"unique-ip"=>"3", "full-text"=>"2", "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"=>"10", "full-text"=>"10", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"10", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
  • {"unique-ip"=>"5", "full-text"=>"6", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
  • {"unique-ip"=>"9", "full-text"=>"8", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
  • {"unique-ip"=>"12", "full-text"=>"13", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
  • {"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"=>"11"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"6"}
  • {"unique-ip"=>"9", "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"=>"7", "full-text"=>"5", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"2", "full-text"=>"1", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}

Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
Loading … Spinner
There are currently no alerts