Predicting National Suicide Numbers with Social Media Data
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{"title"=>"Predicting National Suicide Numbers with Social Media Data", "type"=>"journal", "authors"=>[{"first_name"=>"Hong Hee", "last_name"=>"Won", "scopus_author_id"=>"34573851600"}, {"first_name"=>"Woojae", "last_name"=>"Myung", "scopus_author_id"=>"37099034100"}, {"first_name"=>"Gil Young", "last_name"=>"Song", "scopus_author_id"=>"55653098100"}, {"first_name"=>"Won Hee", "last_name"=>"Lee", "scopus_author_id"=>"55955636000"}, {"first_name"=>"Jong Won", "last_name"=>"Kim", "scopus_author_id"=>"55720234500"}, {"first_name"=>"Bernard J.", "last_name"=>"Carroll", "scopus_author_id"=>"7203083023"}, {"first_name"=>"Doh Kwan", "last_name"=>"Kim", "scopus_author_id"=>"34975444600"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "isbn"=>"1932-6203", "pmid"=>"23630615", "scopus"=>"2-s2.0-84876444360", "doi"=>"10.1371/journal.pone.0061809", "sgr"=>"84876444360", "pui"=>"368766896"}, "id"=>"eaa835b0-38fa-3a74-89e3-b044676de126", "abstract"=>"Suicide is not only an individual phenomenon, but it is also influenced by social and environmental factors. With the high suicide rate and the abundance of social media data in South Korea, we have studied the potential of this new medium for predicting completed suicide at the population level. We tested two social media variables (suicide-related and dysphoria-related weblog entries) along with classical social, economic and meteorological variables as predictors of suicide over 3 years (2008 through 2010). Both social media variables were powerfully associated with suicide frequency. The suicide variable displayed high variability and was reactive to celebrity suicide events, while the dysphoria variable showed longer secular trends, with lower variability. We interpret these as reflections of social affect and social mood, respectively. In the final multivariate model, the two social media variables, especially the dysphoria variable, displaced two classical economic predictors - consumer price index and unemployment rate. The prediction model developed with the 2-year training data set (2008 through 2009) was validated in the data for 2010 and was robust in a sensitivity analysis controlling for celebrity suicide effects. These results indicate that social media data may be of value in national suicide forecasting and prevention.", "link"=>"http://www.mendeley.com/research/predicting-national-suicide-numbers-social-media-data-1", "reader_count"=>122, "reader_count_by_academic_status"=>{"Unspecified"=>5, "Professor > Associate Professor"=>7, "Librarian"=>5, "Researcher"=>18, "Student > Doctoral Student"=>6, "Student > Ph. D. Student"=>30, "Student > Postgraduate"=>4, "Student > Master"=>24, "Other"=>4, "Student > Bachelor"=>14, "Professor"=>5}, "reader_count_by_user_role"=>{"Unspecified"=>5, "Professor > Associate Professor"=>7, "Librarian"=>5, "Researcher"=>18, "Student > Doctoral Student"=>6, "Student > Ph. D. Student"=>30, "Student > Postgraduate"=>4, "Student > Master"=>24, "Other"=>4, "Student > Bachelor"=>14, "Professor"=>5}, "reader_count_by_subject_area"=>{"Unspecified"=>10, "Agricultural and Biological Sciences"=>1, "Arts and Humanities"=>1, "Chemistry"=>1, "Computer Science"=>28, "Economics, Econometrics and Finance"=>2, "Engineering"=>5, "Environmental Science"=>1, "Biochemistry, Genetics and Molecular Biology"=>2, "Nursing and Health Professions"=>2, "Medicine and Dentistry"=>20, "Neuroscience"=>1, "Psychology"=>26, "Social Sciences"=>22}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>20}, "Social Sciences"=>{"Social Sciences"=>22}, "Psychology"=>{"Psychology"=>26}, "Unspecified"=>{"Unspecified"=>10}, "Environmental Science"=>{"Environmental Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Engineering"=>{"Engineering"=>5}, "Chemistry"=>{"Chemistry"=>1}, "Neuroscience"=>{"Neuroscience"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Computer Science"=>{"Computer Science"=>28}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}}, "reader_count_by_country"=>{"Turkey"=>1, "United States"=>3, "United Kingdom"=>1, "Chile"=>1, "Australia"=>1, "India"=>1}, "group_count"=>16}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1030616", "https://ndownloader.figshare.com/files/1030618"], "description"=>"<div><p>Suicide is not only an individual phenomenon, but it is also influenced by social and environmental factors. With the high suicide rate and the abundance of social media data in South Korea, we have studied the potential of this new medium for predicting completed suicide at the population level. We tested two social media variables (suicide-related and dysphoria-related weblog entries) along with classical social, economic and meteorological variables as predictors of suicide over 3 years (2008 through 2010). Both social media variables were powerfully associated with suicide frequency. The suicide variable displayed high variability and was reactive to celebrity suicide events, while the dysphoria variable showed longer secular trends, with lower variability. We interpret these as reflections of social affect and social mood, respectively. In the final multivariate model, the two social media variables, especially the dysphoria variable, displaced two classical economic predictors – consumer price index and unemployment rate. The prediction model developed with the 2-year training data set (2008 through 2009) was validated in the data for 2010 and was robust in a sensitivity analysis controlling for celebrity suicide effects. These results indicate that social media data may be of value in national suicide forecasting and prevention.</p></div>", "links"=>[], "tags"=>["Population biology", "epidemiology", "Social epidemiology", "Mental health", "psychology", "Social psychology", "Public health", "Behavioral and social aspects of health", "anthropology", "Psychological anthropology", "Social anthropology", "geography", "Human geography", "Social geography", "behavior", "Sociology", "social networks", "Social research", "Social systems", "suicide", "numbers"], "article_id"=>687232, "categories"=>["Medicine", "Biological Sciences", "Sociology"], "users"=>["Hong-Hee Won", "Woojae Myung", "Gil-Young Song", "Won-Hee Lee", "Jong-Won Kim", "Bernard J. Carroll", "Doh Kwan Kim"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0061809.s001", "https://dx.doi.org/10.1371/journal.pone.0061809.s002"], "stats"=>{"downloads"=>5, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Predicting_National_Suicide_Numbers_with_Social_Media_Data_/687232", "title"=>"Predicting National Suicide Numbers with Social Media Data", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-04-22 02:00:32"}
  • {"files"=>["https://ndownloader.figshare.com/files/1030613"], "description"=>"<p>t indicates the predicted time point, and t-1 indicates a previous time point (see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0061809#s2\" target=\"_blank\">Methods</a> for details). With the exception of the consumer price index, all variables were significant after Bonferroni correction for multiple testing (P<0.0002 or lower). The Table displays uncorrected <i>P</i> values.</p>", "links"=>[], "tags"=>["Population biology", "epidemiology", "Social epidemiology", "Mental health", "psychology", "Social psychology", "Public health", "Behavioral and social aspects of health", "anthropology", "Psychological anthropology", "Social anthropology", "geography", "Human geography", "Social geography", "behavior", "Sociology", "social networks", "Social research", "Social systems", "suicide", "multivariate"], "article_id"=>687229, "categories"=>["Medicine", "Biological Sciences", "Sociology"], "users"=>["Hong-Hee Won", "Woojae Myung", "Gil-Young Song", "Won-Hee Lee", "Jong-Won Kim", "Bernard J. Carroll", "Doh Kwan Kim"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0061809.t001", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Variables_selected_for_multivariate_prediction_model_development_/687229", "title"=>"Variables selected for multivariate prediction model development.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-04-22 02:00:29"}
  • {"files"=>["https://ndownloader.figshare.com/files/1030611"], "description"=>"<p>Vertical bars denote the one month period following each celebrity suicide case (N = 6) (see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0061809#s2\" target=\"_blank\">Methods</a>). These intervals overlapped for the first 2 celebrity suicide cases. Data of 2008 and 2009 were used as a training set and data of 2010 were used as a validation set. (<b>A</b>) Prediction range accuracy. Observed suicides (blue solid line) and prediction intervals (red dashed lines). The prediction range was computed for 85% probability. Prediction range accuracy was 0.88 for the training set and 0.79 for the validation set. (<b>B</b>) Predicted suicides (red) and observed suicides (blue). Correlations of 0.82 and 0.74 were obtained for 243 epochs of the training set and 121 epochs of the validation set, respectively. (<b>C</b>) Celebrity suicides and social media data. Suicide weblog counts (blue) and dysphoria weblog counts (black) are presented. The dysphoria weblog count was divided by 5 to adjust the ordinate axis scale with the suicide weblog count.</p>", "links"=>[], "tags"=>["Population biology", "epidemiology", "Social epidemiology", "Mental health", "psychology", "Social psychology", "Public health", "Behavioral and social aspects of health", "anthropology", "Psychological anthropology", "Social anthropology", "geography", "Human geography", "Social geography", "behavior", "Sociology", "social networks", "Social research", "Social systems", "suicide", "nation-wide", "occurring", "three-day"], "article_id"=>687227, "categories"=>["Medicine", "Biological Sciences", "Sociology"], "users"=>["Hong-Hee Won", "Woojae Myung", "Gil-Young Song", "Won-Hee Lee", "Jong-Won Kim", "Bernard J. Carroll", "Doh Kwan Kim"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0061809.g001", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Prediction_of_nation_wide_suicide_number_occurring_in_three_day_epochs_/687227", "title"=>"Prediction of nation-wide suicide number occurring in three-day epochs.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-04-22 02:00:27"}
  • {"files"=>["https://ndownloader.figshare.com/files/1030615"], "description"=>"<p>t indicates the predicted time point, and t-1 indicates a previous time point (see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0061809#s2\" target=\"_blank\">Methods</a> for details).</p>", "links"=>[], "tags"=>["Population biology", "epidemiology", "Social epidemiology", "Mental health", "psychology", "Social psychology", "Public health", "Behavioral and social aspects of health", "anthropology", "Psychological anthropology", "Social anthropology", "geography", "Human geography", "Social geography", "behavior", "Sociology", "social networks", "Social research", "Social systems", "suicide", "variables", "included"], "article_id"=>687231, "categories"=>["Medicine", "Biological Sciences", "Sociology"], "users"=>["Hong-Hee Won", "Woojae Myung", "Gil-Young Song", "Won-Hee Lee", "Jong-Won Kim", "Bernard J. Carroll", "Doh Kwan Kim"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0061809.t002", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Final_variables_included_in_the_prediction_model_adjusted_R_squared_8202_8202_0_66_/687231", "title"=>"Final variables included in the prediction model (adjusted R-squared = 0.66).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-04-22 02:00:31"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"35", "full-text"=>"32", "pdf"=>"12", "abstract"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"5", "cited-by"=>"0", "year"=>"2013", "month"=>"6"}
  • {"unique-ip"=>"79", "full-text"=>"153", "pdf"=>"14", "abstract"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2013", "month"=>"7"}
  • {"unique-ip"=>"31", "full-text"=>"35", "pdf"=>"8", "abstract"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"8"}
  • {"unique-ip"=>"32", "full-text"=>"21", "pdf"=>"27", "abstract"=>"12", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2013", "month"=>"9"}
  • {"unique-ip"=>"26", "full-text"=>"22", "pdf"=>"12", "abstract"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"10"}
  • {"unique-ip"=>"30", "full-text"=>"17", "pdf"=>"27", "abstract"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"11"}
  • {"unique-ip"=>"16", "full-text"=>"15", "pdf"=>"12", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2013", "month"=>"12"}
  • {"unique-ip"=>"13", "full-text"=>"20", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"1"}
  • {"unique-ip"=>"21", "full-text"=>"23", "pdf"=>"11", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"2"}
  • {"unique-ip"=>"27", "full-text"=>"39", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2014", "month"=>"3"}
  • {"unique-ip"=>"28", "full-text"=>"27", "pdf"=>"12", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"5"}
  • {"unique-ip"=>"17", "full-text"=>"28", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2014", "month"=>"6"}
  • {"unique-ip"=>"21", "full-text"=>"26", "pdf"=>"12", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"4"}
  • {"unique-ip"=>"19", "full-text"=>"23", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"7", "year"=>"2015", "month"=>"4"}
  • {"unique-ip"=>"24", "full-text"=>"29", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"5"}
  • {"unique-ip"=>"16", "full-text"=>"21", "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"=>"18", "full-text"=>"23", "pdf"=>"13", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"8", "cited-by"=>"1", "year"=>"2015", "month"=>"7"}
  • {"unique-ip"=>"50", "full-text"=>"60", "pdf"=>"13", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"2", "year"=>"2015", "month"=>"3"}
  • {"unique-ip"=>"45", "full-text"=>"47", "pdf"=>"10", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"2", "cited-by"=>"1", "year"=>"2015", "month"=>"2"}
  • {"unique-ip"=>"25", "full-text"=>"25", "pdf"=>"13", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"8"}
  • {"unique-ip"=>"19", "full-text"=>"25", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"9"}
  • {"unique-ip"=>"46", "full-text"=>"53", "pdf"=>"10", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"10"}
  • {"unique-ip"=>"22", "full-text"=>"32", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"7"}
  • {"unique-ip"=>"16", "full-text"=>"17", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2014", "month"=>"8"}
  • {"unique-ip"=>"27", "full-text"=>"24", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2014", "month"=>"9"}
  • {"unique-ip"=>"53", "full-text"=>"59", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"6", "cited-by"=>"1", "year"=>"2014", "month"=>"10"}
  • {"unique-ip"=>"16", "full-text"=>"16", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"1"}
  • {"unique-ip"=>"18", "full-text"=>"19", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
  • {"unique-ip"=>"30", "full-text"=>"30", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2014", "month"=>"11"}
  • {"unique-ip"=>"16", "full-text"=>"19", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"12"}
  • {"unique-ip"=>"22", "full-text"=>"29", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2015", "month"=>"1"}
  • {"unique-ip"=>"39", "full-text"=>"44", "pdf"=>"10", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"1", "cited-by"=>"1", "year"=>"2015", "month"=>"11"}
  • {"unique-ip"=>"16", "full-text"=>"15", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"12"}
  • {"unique-ip"=>"25", "full-text"=>"26", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"3"}
  • {"unique-ip"=>"27", "full-text"=>"37", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
  • {"unique-ip"=>"26", "full-text"=>"30", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"5"}
  • {"unique-ip"=>"17", "full-text"=>"18", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
  • {"unique-ip"=>"14", "full-text"=>"15", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"7"}
  • {"unique-ip"=>"15", "full-text"=>"17", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2016", "month"=>"8"}
  • {"unique-ip"=>"17", "full-text"=>"15", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"9"}
  • {"unique-ip"=>"16", "full-text"=>"20", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2016", "month"=>"10"}
  • {"unique-ip"=>"47", "full-text"=>"89", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"2", "year"=>"2016", "month"=>"11"}
  • {"unique-ip"=>"18", "full-text"=>"31", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
  • {"unique-ip"=>"16", "full-text"=>"17", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"1"}
  • {"unique-ip"=>"27", "full-text"=>"44", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
  • {"unique-ip"=>"19", "full-text"=>"30", "pdf"=>"14", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
  • {"unique-ip"=>"21", "full-text"=>"19", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"4"}
  • {"unique-ip"=>"21", "full-text"=>"18", "pdf"=>"11", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"5"}
  • {"unique-ip"=>"15", "full-text"=>"17", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"6"}
  • {"unique-ip"=>"13", "full-text"=>"15", "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"=>"18", "full-text"=>"24", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"8"}
  • {"unique-ip"=>"18", "full-text"=>"21", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
  • {"unique-ip"=>"14", "full-text"=>"13", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
  • {"unique-ip"=>"23", "full-text"=>"25", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
  • {"unique-ip"=>"25", "full-text"=>"24", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
  • {"unique-ip"=>"12", "full-text"=>"10", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"1"}
  • {"unique-ip"=>"2", "full-text"=>"1", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"2"}
  • {"unique-ip"=>"25", "full-text"=>"19", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
  • {"unique-ip"=>"18", "full-text"=>"17", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"4", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
  • {"unique-ip"=>"23", "full-text"=>"19", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"25", "full-text"=>"19", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
  • {"unique-ip"=>"22", "full-text"=>"18", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2018", "month"=>"6"}
  • {"unique-ip"=>"25", "full-text"=>"23", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"4", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
  • {"unique-ip"=>"19", "full-text"=>"11", "pdf"=>"9", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"19", "full-text"=>"18", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
  • {"unique-ip"=>"27", "full-text"=>"19", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"29", "full-text"=>"27", "pdf"=>"11", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"23", "full-text"=>"26", "pdf"=>"8", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"24", "full-text"=>"19", "pdf"=>"13", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"24", "full-text"=>"22", "pdf"=>"14", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"30", "full-text"=>"28", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"19", "full-text"=>"27", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"16", "full-text"=>"15", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"23", "full-text"=>"24", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"38", "full-text"=>"32", "pdf"=>"20", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"2", "year"=>"2019", "month"=>"10"}

Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Computer and information sciences", "average_usage"=>[297, 488, 616, 724, 828, 939, 1038, 1127, 1223, 1311, 1393, 1479, 1556]}, {"subject_area"=>"/Computer and information sciences/Network analysis", "average_usage"=>[340, 548, 701, 844, 945, 1073, 1189, 1282, 1391, 1488, 1562, 1660, 1731]}, {"subject_area"=>"/Medicine and health sciences/Mental health and psychiatry", "average_usage"=>[282, 468, 596, 706, 804, 895, 1000, 1081, 1175, 1272, 1356, 1445, 1531]}, {"subject_area"=>"/People and places/Geographical locations", "average_usage"=>[263, 456, 571, 673, 776, 866, 955, 1040, 1132, 1217, 1310, 1391, 1454]}, {"subject_area"=>"/Social sciences/Sociology", "average_usage"=>[310, 523, 656, 780, 900, 1024, 1120, 1219, 1308, 1395, 1468, 1570, 1642]}]}
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