Climate Change Sentiment on Twitter: An Unsolicited Public Opinion Poll
Publication Date
August 20, 2015
Journal
PLOS ONE
Authors
Emily M. Cody, Andrew J. Reagan, Lewis Mitchell, Peter Sheridan Dodds, et al
Volume
10
Issue
8
Pages
e0136092
DOI
https://dx.plos.org/10.1371/journal.pone.0136092
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0136092
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/26291877
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4546368
Europe PMC
http://europepmc.org/abstract/MED/26291877
Web of Science
000359919900053
Scopus
84942938595
Mendeley
http://www.mendeley.com/research/climate-change-sentiment-twitter-unsolicited-public-opinion-poll
Events
Loading … Spinner

Mendeley | Further Information

{"title"=>"Climate change sentiment on Twitter: An unsolicited public opinion poll", "type"=>"journal", "authors"=>[{"first_name"=>"Emily M.", "last_name"=>"Cody", "scopus_author_id"=>"56884494700"}, {"first_name"=>"Andrew J.", "last_name"=>"Reagan", "scopus_author_id"=>"56244883800"}, {"first_name"=>"Lewis", "last_name"=>"Mitchell", "scopus_author_id"=>"51161515500"}, {"first_name"=>"Peter Sheridan", "last_name"=>"Dodds", "scopus_author_id"=>"7005561192"}, {"first_name"=>"Christopher M.", "last_name"=>"Danforth", "scopus_author_id"=>"12808716500"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"arxiv"=>"1505.03804", "issn"=>"19326203", "pui"=>"606195213", "sgr"=>"84942938595", "scopus"=>"2-s2.0-84942938595", "pmid"=>"26291877", "doi"=>"10.1371/journal.pone.0136092", "isbn"=>"-"}, "id"=>"19bed143-3520-3167-a373-0765add19204", "abstract"=>"The consequences of anthropogenic climate change are extensively debated through scientific papers, newspaper articles, and blogs. Newspaper articles may lack accuracy, while the severity of findings in scientific papers may be too opaque for the public to understand. Social media, however, is a forum where individuals of diverse backgrounds can share their thoughts and opinions. As consumption shifts from old media to new, Twitter has become a valuable resource for analyzing current events and headline news. In this research, we analyze tweets containing the word \"climate\" collected between September 2008 and July 2014. Through use of a previously developed sentiment measurement tool called the Hedonometer, we determine how collective sentiment varies in response to climate change news, events, and natural disasters. We find that natural disasters, climate bills, and oil-drilling can contribute to a decrease in happiness while climate rallies, a book release, and a green ideas contest can contribute to an increase in happiness. Words uncovered by our analysis suggest that responses to climate change news are predominately from climate change activists rather than climate change deniers, indicating that Twitter is a valuable resource for the spread of climate change awareness.", "link"=>"http://www.mendeley.com/research/climate-change-sentiment-twitter-unsolicited-public-opinion-poll", "reader_count"=>119, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>2, "Librarian"=>1, "Student > Doctoral Student"=>7, "Researcher"=>22, "Student > Ph. D. Student"=>36, "Student > Postgraduate"=>5, "Student > Master"=>23, "Student > Bachelor"=>10, "Lecturer"=>3, "Lecturer > Senior Lecturer"=>1, "Professor"=>7}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>2, "Librarian"=>1, "Student > Doctoral Student"=>7, "Researcher"=>22, "Student > Ph. D. Student"=>36, "Student > Postgraduate"=>5, "Student > Master"=>23, "Student > Bachelor"=>10, "Lecturer"=>3, "Lecturer > Senior Lecturer"=>1, "Professor"=>7}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Agricultural and Biological Sciences"=>6, "Philosophy"=>1, "Arts and Humanities"=>4, "Business, Management and Accounting"=>6, "Chemistry"=>2, "Computer Science"=>23, "Earth and Planetary Sciences"=>7, "Economics, Econometrics and Finance"=>2, "Energy"=>1, "Engineering"=>4, "Environmental Science"=>9, "Biochemistry, Genetics and Molecular Biology"=>1, "Mathematics"=>2, "Medicine and Dentistry"=>1, "Sports and Recreations"=>1, "Physics and Astronomy"=>1, "Psychology"=>7, "Social Sciences"=>34, "Linguistics"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Social Sciences"=>{"Social Sciences"=>34}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>7}, "Mathematics"=>{"Mathematics"=>2}, "Unspecified"=>{"Unspecified"=>6}, "Environmental Science"=>{"Environmental Science"=>9}, "Arts and Humanities"=>{"Arts and Humanities"=>4}, "Engineering"=>{"Engineering"=>4}, "Chemistry"=>{"Chemistry"=>2}, "Energy"=>{"Energy"=>1}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>7}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>6}, "Computer Science"=>{"Computer Science"=>23}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>6}, "Linguistics"=>{"Linguistics"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Philosophy"=>{"Philosophy"=>1}}, "reader_count_by_country"=>{"Canada"=>1, "Bangladesh"=>1, "Netherlands"=>1, "United States"=>3, "Sri Lanka"=>1, "Philippines"=>1, "Switzerland"=>1, "Spain"=>1, "Indonesia"=>1, "India"=>1}, "group_count"=>12}

CrossRef

Scopus | Further Information

{"@_fa"=>"true", "link"=>[{"@_fa"=>"true", "@ref"=>"self", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84942938595"}, {"@_fa"=>"true", "@ref"=>"author-affiliation", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84942938595?field=author,affiliation"}, {"@_fa"=>"true", "@ref"=>"scopus", "@href"=>"https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84942938595&origin=inward"}, {"@_fa"=>"true", "@ref"=>"scopus-citedby", "@href"=>"https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84942938595&origin=inward"}], "prism:url"=>"https://api.elsevier.com/content/abstract/scopus_id/84942938595", "dc:identifier"=>"SCOPUS_ID:84942938595", "eid"=>"2-s2.0-84942938595", "dc:title"=>"Climate change sentiment on Twitter: An unsolicited public opinion poll", "dc:creator"=>"Cody E.", "prism:publicationName"=>"PLoS ONE", "prism:eIssn"=>"19326203", "prism:volume"=>"10", "prism:issueIdentifier"=>"8", "prism:pageRange"=>nil, "prism:coverDate"=>"2015-08-20", "prism:coverDisplayDate"=>"20 August 2015", "prism:doi"=>"10.1371/journal.pone.0136092", "citedby-count"=>"65", "affiliation"=>[{"@_fa"=>"true", "affilname"=>"University of Vermont", "affiliation-city"=>"Burlington", "affiliation-country"=>"United States"}], "pubmed-id"=>"26291877", "prism:aggregationType"=>"Journal", "subtype"=>"ar", "subtypeDescription"=>"Article", "article-number"=>"e0136092", "source-id"=>"10600153309", "openaccess"=>"1", "openaccessFlag"=>true}

Facebook

  • {"url"=>"http%3A%2F%2Fjournals.plos.org%2Fplosone%2Farticle%3Fid%3D10.1371%252Fjournal.pone.0136092", "share_count"=>5, "like_count"=>0, "comment_count"=>0, "click_count"=>0, "total_count"=>5}

Twitter

Counter

  • {"month"=>"8", "year"=>"2015", "pdf_views"=>"89", "xml_views"=>"6", "html_views"=>"1305"}
  • {"month"=>"9", "year"=>"2015", "pdf_views"=>"28", "xml_views"=>"1", "html_views"=>"450"}
  • {"month"=>"10", "year"=>"2015", "pdf_views"=>"34", "xml_views"=>"0", "html_views"=>"269"}
  • {"month"=>"11", "year"=>"2015", "pdf_views"=>"31", "xml_views"=>"0", "html_views"=>"242"}
  • {"month"=>"12", "year"=>"2015", "pdf_views"=>"24", "xml_views"=>"0", "html_views"=>"244"}
  • {"month"=>"1", "year"=>"2016", "pdf_views"=>"19", "xml_views"=>"0", "html_views"=>"121"}
  • {"month"=>"2", "year"=>"2016", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"141"}
  • {"month"=>"3", "year"=>"2016", "pdf_views"=>"18", "xml_views"=>"0", "html_views"=>"128"}
  • {"month"=>"4", "year"=>"2016", "pdf_views"=>"30", "xml_views"=>"0", "html_views"=>"155"}
  • {"month"=>"5", "year"=>"2016", "pdf_views"=>"29", "xml_views"=>"0", "html_views"=>"128"}
  • {"month"=>"6", "year"=>"2016", "pdf_views"=>"22", "xml_views"=>"0", "html_views"=>"129"}
  • {"month"=>"7", "year"=>"2016", "pdf_views"=>"19", "xml_views"=>"0", "html_views"=>"100"}
  • {"month"=>"8", "year"=>"2016", "pdf_views"=>"62", "xml_views"=>"0", "html_views"=>"101"}
  • {"month"=>"9", "year"=>"2016", "pdf_views"=>"51", "xml_views"=>"0", "html_views"=>"146"}
  • {"month"=>"10", "year"=>"2016", "pdf_views"=>"46", "xml_views"=>"0", "html_views"=>"121"}
  • {"month"=>"11", "year"=>"2016", "pdf_views"=>"24", "xml_views"=>"0", "html_views"=>"121"}
  • {"month"=>"12", "year"=>"2016", "pdf_views"=>"32", "xml_views"=>"0", "html_views"=>"136"}
  • {"month"=>"1", "year"=>"2017", "pdf_views"=>"22", "xml_views"=>"1", "html_views"=>"90"}
  • {"month"=>"2", "year"=>"2017", "pdf_views"=>"26", "xml_views"=>"0", "html_views"=>"101"}
  • {"month"=>"3", "year"=>"2017", "pdf_views"=>"27", "xml_views"=>"0", "html_views"=>"114"}
  • {"month"=>"4", "year"=>"2017", "pdf_views"=>"48", "xml_views"=>"1", "html_views"=>"88"}
  • {"month"=>"5", "year"=>"2017", "pdf_views"=>"28", "xml_views"=>"1", "html_views"=>"86"}
  • {"month"=>"6", "year"=>"2017", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"100"}
  • {"month"=>"7", "year"=>"2017", "pdf_views"=>"36", "xml_views"=>"2", "html_views"=>"95"}
  • {"month"=>"8", "year"=>"2017", "pdf_views"=>"15", "xml_views"=>"0", "html_views"=>"87"}
  • {"month"=>"9", "year"=>"2017", "pdf_views"=>"44", "xml_views"=>"1", "html_views"=>"140"}
  • {"month"=>"10", "year"=>"2017", "pdf_views"=>"37", "xml_views"=>"2", "html_views"=>"137"}
  • {"month"=>"11", "year"=>"2017", "pdf_views"=>"43", "xml_views"=>"1", "html_views"=>"179"}
  • {"month"=>"12", "year"=>"2017", "pdf_views"=>"19", "xml_views"=>"1", "html_views"=>"97"}
  • {"month"=>"1", "year"=>"2018", "pdf_views"=>"29", "xml_views"=>"1", "html_views"=>"91"}
  • {"month"=>"2", "year"=>"2018", "pdf_views"=>"36", "xml_views"=>"2", "html_views"=>"74"}
  • {"month"=>"3", "year"=>"2018", "pdf_views"=>"36", "xml_views"=>"3", "html_views"=>"79"}
  • {"month"=>"4", "year"=>"2018", "pdf_views"=>"29", "xml_views"=>"2", "html_views"=>"58"}
  • {"month"=>"5", "year"=>"2018", "pdf_views"=>"30", "xml_views"=>"0", "html_views"=>"37"}
  • {"month"=>"6", "year"=>"2018", "pdf_views"=>"11", "xml_views"=>"2", "html_views"=>"34"}
  • {"month"=>"7", "year"=>"2018", "pdf_views"=>"10", "xml_views"=>"3", "html_views"=>"32"}
  • {"month"=>"8", "year"=>"2018", "pdf_views"=>"32", "xml_views"=>"1", "html_views"=>"53"}
  • {"month"=>"9", "year"=>"2018", "pdf_views"=>"28", "xml_views"=>"0", "html_views"=>"54"}
  • {"month"=>"10", "year"=>"2018", "pdf_views"=>"44", "xml_views"=>"1", "html_views"=>"74"}
  • {"month"=>"11", "year"=>"2018", "pdf_views"=>"34", "xml_views"=>"0", "html_views"=>"63"}
  • {"month"=>"12", "year"=>"2018", "pdf_views"=>"20", "xml_views"=>"0", "html_views"=>"48"}
  • {"month"=>"1", "year"=>"2019", "pdf_views"=>"47", "xml_views"=>"1", "html_views"=>"79"}
  • {"month"=>"2", "year"=>"2019", "pdf_views"=>"58", "xml_views"=>"0", "html_views"=>"98"}
  • {"month"=>"3", "year"=>"2019", "pdf_views"=>"63", "xml_views"=>"0", "html_views"=>"148"}
  • {"month"=>"4", "year"=>"2019", "pdf_views"=>"95", "xml_views"=>"0", "html_views"=>"184"}
  • {"month"=>"5", "year"=>"2019", "pdf_views"=>"67", "xml_views"=>"1", "html_views"=>"102"}
  • {"month"=>"6", "year"=>"2019", "pdf_views"=>"73", "xml_views"=>"0", "html_views"=>"109"}
  • {"month"=>"7", "year"=>"2019", "pdf_views"=>"54", "xml_views"=>"1", "html_views"=>"94"}
  • {"month"=>"8", "year"=>"2019", "pdf_views"=>"75", "xml_views"=>"1", "html_views"=>"101"}
  • {"month"=>"9", "year"=>"2019", "pdf_views"=>"56", "xml_views"=>"0", "html_views"=>"146"}
  • {"month"=>"10", "year"=>"2019", "pdf_views"=>"128", "xml_views"=>"2", "html_views"=>"289"}
  • {"month"=>"11", "year"=>"2019", "pdf_views"=>"99", "xml_views"=>"2", "html_views"=>"290"}
  • {"month"=>"12", "year"=>"2019", "pdf_views"=>"122", "xml_views"=>"5", "html_views"=>"261"}
  • {"month"=>"1", "year"=>"2020", "pdf_views"=>"115", "xml_views"=>"1", "html_views"=>"177"}
  • {"month"=>"2", "year"=>"2020", "pdf_views"=>"85", "xml_views"=>"1", "html_views"=>"121"}
  • {"month"=>"3", "year"=>"2020", "pdf_views"=>"105", "xml_views"=>"1", "html_views"=>"105"}
  • {"month"=>"4", "year"=>"2020", "pdf_views"=>"141", "xml_views"=>"0", "html_views"=>"108"}
  • {"month"=>"5", "year"=>"2020", "pdf_views"=>"121", "xml_views"=>"1", "html_views"=>"72"}
  • {"month"=>"6", "year"=>"2020", "pdf_views"=>"70", "xml_views"=>"1", "html_views"=>"102"}
  • {"month"=>"7", "year"=>"2020", "pdf_views"=>"66", "xml_views"=>"0", "html_views"=>"104"}
  • {"month"=>"8", "year"=>"2020", "pdf_views"=>"54", "xml_views"=>"1", "html_views"=>"97"}
  • {"month"=>"9", "year"=>"2020", "pdf_views"=>"76", "xml_views"=>"0", "html_views"=>"120"}
  • {"month"=>"10", "year"=>"2020", "pdf_views"=>"120", "xml_views"=>"1", "html_views"=>"135"}
  • {"month"=>"11", "year"=>"2020", "pdf_views"=>"179", "xml_views"=>"7", "html_views"=>"205"}
  • {"month"=>"12", "year"=>"2020", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"13"}

Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2219070"], "description"=>"<p>Left: Happiness time series plot for unfiltered tweets (red dashed) and tweets containing the word “climate” (blue solid) one week before and one week after the Forward on Climate Rally. Right: word shift plot for climate tweets versus unfiltered tweets on the day of the rally.</p>", "links"=>[], "tags"=>["climate change deniers", "climate Change Sentiment", "Unsolicited Public Opinion Poll", "climate change awareness", "climate change activists", "newspaper articles", "climate change news", "anthropogenic climate change", "sentiment measurement tool"], "article_id"=>1515629, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Emily M. Cody", "Andrew J. Reagan", "Lewis Mitchell", "Peter Sheridan Dodds", "Christopher M. Danforth"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0136092.g010", "stats"=>{"downloads"=>3, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Left_Happiness_time_series_plot_for_unfiltered_tweets_red_dashed_and_tweets_containing_the_word_8220_climate_8221_blue_solid_one_week_before_and_one_week_after_the_Forward_on_Climate_Rally_Right_word_shift_plot_for_climate_tweets_versus_unfiltered_tweets/1515629", "title"=>"Left: Happiness time series plot for unfiltered tweets (red dashed) and tweets containing the word “climate” (blue solid) one week before and one week after the Forward on Climate Rally. Right: word shift plot for climate tweets versus unfiltered tweets on the day of the rally.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-20 03:35:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/2219060"], "description"=>"<p>The left plots gives the time series of each word during hurricane Sandy. The right plots gives the power law fit for the decay in relative frequency, x-axes are spaced logarithmically. The power law exponents are given in the titles of the figures.</p>", "links"=>[], "tags"=>["climate change deniers", "climate Change Sentiment", "Unsolicited Public Opinion Poll", "climate change awareness", "climate change activists", "newspaper articles", "climate change news", "anthropogenic climate change", "sentiment measurement tool"], "article_id"=>1515625, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Emily M. Cody", "Andrew J. Reagan", "Lewis Mitchell", "Peter Sheridan Dodds", "Christopher M. Danforth"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0136092.g008", "stats"=>{"downloads"=>2, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Decay_rates_of_the_words_8220_hurricane_8221_top_and_8220_climate_8221_bottom_/1515625", "title"=>"Decay rates of the words “hurricane” (top) and “climate” (bottom).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-20 03:35:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/2219058"], "description"=>"<p>Word shift graphs for 3 of the saddest days in the climate tweet time series.</p>", "links"=>[], "tags"=>["climate change deniers", "climate Change Sentiment", "Unsolicited Public Opinion Poll", "climate change awareness", "climate change activists", "newspaper articles", "climate change news", "anthropogenic climate change", "sentiment measurement tool"], "article_id"=>1515623, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Emily M. Cody", "Andrew J. Reagan", "Lewis Mitchell", "Peter Sheridan Dodds", "Christopher M. Danforth"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0136092.g006", "stats"=>{"downloads"=>4, "page_views"=>24, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Word_shift_graphs_for_3_of_the_saddest_days_in_the_climate_tweet_time_series_/1515623", "title"=>"Word shift graphs for 3 of the saddest days in the climate tweet time series.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-20 03:35:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/2219059"], "description"=>"<p>Several spikes have been identified with the hurricane or tornado that took place during that time period.</p>", "links"=>[], "tags"=>["climate change deniers", "climate Change Sentiment", "Unsolicited Public Opinion Poll", "climate change awareness", "climate change activists", "newspaper articles", "climate change news", "anthropogenic climate change", "sentiment measurement tool"], "article_id"=>1515624, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Emily M. Cody", "Andrew J. Reagan", "Lewis Mitchell", "Peter Sheridan Dodds", "Christopher M. Danforth"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0136092.g007", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Frequency_of_the_word_8220_hurricane_8221_top_and_8220_tornado_8221_bottom_within_tweets_containing_the_word_8220_climate_8221_/1515624", "title"=>"Frequency of the word “hurricane” (top) and “tornado” (bottom) within tweets containing the word “climate”.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-20 03:35:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/2219057"], "description"=>"<p>Example tweets on the happiest and saddest days for climate conversation on Twitter.</p>", "links"=>[], "tags"=>["climate change deniers", "climate Change Sentiment", "Unsolicited Public Opinion Poll", "climate change awareness", "climate change activists", "newspaper articles", "climate change news", "anthropogenic climate change", "sentiment measurement tool"], "article_id"=>1515622, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Emily M. Cody", "Andrew J. Reagan", "Lewis Mitchell", "Peter Sheridan Dodds", "Christopher M. Danforth"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0136092.g005", "stats"=>{"downloads"=>5, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Example_tweets_on_the_happiest_and_saddest_days_for_climate_conversation_on_Twitter_/1515622", "title"=>"Example tweets on the happiest and saddest days for climate conversation on Twitter.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-20 03:35:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/2219053"], "description"=>"<p>The reference text is roughly 100 billion tweets from September 2008 to July 2014. The comparison text is tweets containing the word “climate” from September 2008 to July 2014. A yellow bar indicates a word with an above average happiness score. A purple bar indicates a word with below average happiness score. A down arrow indicates that this word is used less within tweets containing the word “climate”. An up arrow indicates that this word is used more within tweets containing the word “climate”. Words on the left side of the graph are contributing to making the comparison text (climate tweets) less happy. Words on the right side of the graph are contributing to making the comparison text more happy. The small plot in the lower left corner shows how the individual words contribute to the total shift in happiness. The gray squares in the lower right corner compare the sizes of the two texts, roughly 10<sup>7</sup> vs 10<sup>12</sup> words. The circles in the lower right corner indicate how many happy words were used more or less and how many sad words were used more or less in the comparison text.</p>", "links"=>[], "tags"=>["climate change deniers", "climate Change Sentiment", "Unsolicited Public Opinion Poll", "climate change awareness", "climate change activists", "newspaper articles", "climate change news", "anthropogenic climate change", "sentiment measurement tool"], "article_id"=>1515618, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Emily M. Cody", "Andrew J. Reagan", "Lewis Mitchell", "Peter Sheridan Dodds", "Christopher M. Danforth"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0136092.g003", "stats"=>{"downloads"=>4, "page_views"=>50, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_word_shift_graph_comparing_the_happiness_of_tweets_containing_the_word_8220_climate_8221_to_unfiltered_tweets_/1515618", "title"=>"A word shift graph comparing the happiness of tweets containing the word “climate” to unfiltered tweets.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-20 03:35:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/2219048"], "description"=>"<p>The average happiness of all tweets during the same time period is shown with a dotted red line. Several of the happiest and saddest dates are indicated on each plot, and are explored in subsequent figures.</p>", "links"=>[], "tags"=>["climate change deniers", "climate Change Sentiment", "Unsolicited Public Opinion Poll", "climate change awareness", "climate change activists", "newspaper articles", "climate change news", "anthropogenic climate change", "sentiment measurement tool"], "article_id"=>1515613, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Emily M. Cody", "Andrew J. Reagan", "Lewis Mitchell", "Peter Sheridan Dodds", "Christopher M. Danforth"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0136092.g002", "stats"=>{"downloads"=>1, "page_views"=>23, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Average_happiness_of_tweets_containing_the_word_8220_climate_8221_from_September_2008_to_July_2014_by_day_top_by_week_middle_and_by_month_bottom_/1515613", "title"=>"Average happiness of tweets containing the word “climate” from September 2008 to July 2014 by day (top), by week (middle), and by month (bottom).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-20 03:35:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/2219068"], "description"=>"<p>The word shift graphs compare the climate tweets to unfiltered tweets on the day of the natural disaster.</p>", "links"=>[], "tags"=>["climate change deniers", "climate Change Sentiment", "Unsolicited Public Opinion Poll", "climate change awareness", "climate change activists", "newspaper articles", "climate change news", "anthropogenic climate change", "sentiment measurement tool"], "article_id"=>1515627, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Emily M. Cody", "Andrew J. Reagan", "Lewis Mitchell", "Peter Sheridan Dodds", "Christopher M. Danforth"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0136092.g009", "stats"=>{"downloads"=>2, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Happiness_time_series_plots_for_tweets_containing_the_word_8220_climate_8221_one_week_before_and_one_week_after_three_natural_disasters_in_the_United_States_top_and_word_shift_graphs_indicating_what_words_contributed_most_to_the_drop_in_happiness_during_/1515627", "title"=>"Happiness time series plots for tweets containing the word “climate” one week before and one week after three natural disasters in the United States (top) and word shift graphs indicating what words contributed most to the drop in happiness during the natural disasters (bottom).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-20 03:35:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/2219047"], "description"=>"<p>The insets (in red) show the same quantity with a logarithmically spaced y-axis.</p>", "links"=>[], "tags"=>["climate change deniers", "climate Change Sentiment", "Unsolicited Public Opinion Poll", "climate change awareness", "climate change activists", "newspaper articles", "climate change news", "anthropogenic climate change", "sentiment measurement tool"], "article_id"=>1515612, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Emily M. Cody", "Andrew J. Reagan", "Lewis Mitchell", "Peter Sheridan Dodds", "Christopher M. Danforth"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0136092.g001", "stats"=>{"downloads"=>4, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_daily_raw_frequencies_top_and_relative_frequencies_bottom_of_the_word_8220_climate_8221_on_Twitter_from_September_14_2008_to_July_14_2014_/1515612", "title"=>"The daily raw frequencies (top) and relative frequencies (bottom) of the word “climate” on Twitter from September 14, 2008 to July 14, 2014.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-20 03:35:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/2219076", "https://ndownloader.figshare.com/files/2219077", "https://ndownloader.figshare.com/files/2219078", "https://ndownloader.figshare.com/files/2219079", "https://ndownloader.figshare.com/files/2219080", "https://ndownloader.figshare.com/files/2219081"], "description"=>"<div><p>The consequences of anthropogenic climate change are extensively debated through scientific papers, newspaper articles, and blogs. Newspaper articles may lack accuracy, while the severity of findings in scientific papers may be too opaque for the public to understand. Social media, however, is a forum where individuals of diverse backgrounds can share their thoughts and opinions. As consumption shifts from old media to new, Twitter has become a valuable resource for analyzing current events and headline news. In this research, we analyze tweets containing the word “climate” collected between September 2008 and July 2014. Through use of a previously developed sentiment measurement tool called the Hedonometer, we determine how collective sentiment varies in response to climate change news, events, and natural disasters. We find that natural disasters, climate bills, and oil-drilling can contribute to a decrease in happiness while climate rallies, a book release, and a green ideas contest can contribute to an increase in happiness. Words uncovered by our analysis suggest that responses to climate change news are predominately from climate change activists rather than climate change deniers, indicating that Twitter is a valuable resource for the spread of climate change awareness.</p></div>", "links"=>[], "tags"=>["climate change deniers", "climate Change Sentiment", "Unsolicited Public Opinion Poll", "climate change awareness", "climate change activists", "newspaper articles", "climate change news", "anthropogenic climate change", "sentiment measurement tool"], "article_id"=>1515635, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Emily M. Cody", "Andrew J. Reagan", "Lewis Mitchell", "Peter Sheridan Dodds", "Christopher M. Danforth"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0136092.s001", "https://dx.doi.org/10.1371/journal.pone.0136092.s002", "https://dx.doi.org/10.1371/journal.pone.0136092.s003", "https://dx.doi.org/10.1371/journal.pone.0136092.s004", "https://dx.doi.org/10.1371/journal.pone.0136092.s005", "https://dx.doi.org/10.1371/journal.pone.0136092.s006"], "stats"=>{"downloads"=>2, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Climate_Change_Sentiment_on_Twitter_An_Unsolicited_Public_Opinion_Poll_/1515635", "title"=>"Climate Change Sentiment on Twitter: An Unsolicited Public Opinion Poll", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-08-20 03:35:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/2219055"], "description"=>"<p>Word shift graphs for three of the happiest days in the climate tweet time series.</p>", "links"=>[], "tags"=>["climate change deniers", "climate Change Sentiment", "Unsolicited Public Opinion Poll", "climate change awareness", "climate change activists", "newspaper articles", "climate change news", "anthropogenic climate change", "sentiment measurement tool"], "article_id"=>1515620, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Emily M. Cody", "Andrew J. Reagan", "Lewis Mitchell", "Peter Sheridan Dodds", "Christopher M. Danforth"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0136092.g004", "stats"=>{"downloads"=>2, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Word_shift_graphs_for_three_of_the_happiest_days_in_the_climate_tweet_time_series_/1515620", "title"=>"Word shift graphs for three of the happiest days in the climate tweet time series.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-08-20 03:35:39"}

PMC Usage Stats | Further Information

  • {"unique-ip"=>"2", "full-text"=>"3", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"8"}
  • {"unique-ip"=>"12", "full-text"=>"11", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"9"}
  • {"unique-ip"=>"22", "full-text"=>"27", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"10"}
  • {"unique-ip"=>"28", "full-text"=>"29", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
  • {"unique-ip"=>"12", "full-text"=>"11", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"11"}
  • {"unique-ip"=>"21", "full-text"=>"20", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"12"}
  • {"unique-ip"=>"14", "full-text"=>"15", "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"=>"17", "full-text"=>"16", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"3"}
  • {"unique-ip"=>"29", "full-text"=>"33", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
  • {"unique-ip"=>"18", "full-text"=>"24", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"5"}
  • {"unique-ip"=>"22", "full-text"=>"26", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"10", "supp-data"=>"6", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
  • {"unique-ip"=>"21", "full-text"=>"25", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"9", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"7"}
  • {"unique-ip"=>"18", "full-text"=>"18", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"8"}
  • {"unique-ip"=>"18", "full-text"=>"15", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"9"}
  • {"unique-ip"=>"17", "full-text"=>"24", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"10"}
  • {"unique-ip"=>"26", "full-text"=>"31", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"11"}
  • {"unique-ip"=>"26", "full-text"=>"34", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"1"}
  • {"unique-ip"=>"27", "full-text"=>"22", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
  • {"unique-ip"=>"41", "full-text"=>"48", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
  • {"unique-ip"=>"35", "full-text"=>"42", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"12", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"4"}
  • {"unique-ip"=>"24", "full-text"=>"29", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"5"}
  • {"unique-ip"=>"17", "full-text"=>"16", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"6"}
  • {"unique-ip"=>"14", "full-text"=>"16", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
  • {"unique-ip"=>"21", "full-text"=>"23", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"8"}
  • {"unique-ip"=>"31", "full-text"=>"35", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"2", "year"=>"2017", "month"=>"9"}
  • {"unique-ip"=>"23", "full-text"=>"26", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
  • {"unique-ip"=>"25", "full-text"=>"27", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"11", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
  • {"unique-ip"=>"29", "full-text"=>"28", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
  • {"unique-ip"=>"23", "full-text"=>"26", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"1"}
  • {"unique-ip"=>"35", "full-text"=>"33", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
  • {"unique-ip"=>"30", "full-text"=>"31", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
  • {"unique-ip"=>"26", "full-text"=>"24", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"19", "full-text"=>"20", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"35", "full-text"=>"39", "pdf"=>"10", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
  • {"unique-ip"=>"33", "full-text"=>"41", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"29", "full-text"=>"24", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
  • {"unique-ip"=>"25", "full-text"=>"25", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2018", "month"=>"6"}
  • {"unique-ip"=>"10", "full-text"=>"10", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
  • {"unique-ip"=>"28", "full-text"=>"25", "pdf"=>"10", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"6", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"23", "full-text"=>"21", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"37", "full-text"=>"25", "pdf"=>"17", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"33", "full-text"=>"23", "pdf"=>"18", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"59", "full-text"=>"56", "pdf"=>"19", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"56", "full-text"=>"53", "pdf"=>"18", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"37", "full-text"=>"28", "pdf"=>"16", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"44", "full-text"=>"49", "pdf"=>"11", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"6", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"59", "full-text"=>"47", "pdf"=>"24", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}
  • {"unique-ip"=>"54", "full-text"=>"55", "pdf"=>"8", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2019", "month"=>"12"}
  • {"unique-ip"=>"149", "full-text"=>"189", "pdf"=>"27", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"1", "year"=>"2020", "month"=>"2"}
  • {"unique-ip"=>"151", "full-text"=>"185", "pdf"=>"20", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"18", "cited-by"=>"1", "year"=>"2020", "month"=>"3"}
  • {"unique-ip"=>"153", "full-text"=>"200", "pdf"=>"30", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"4", "year"=>"2020", "month"=>"4"}
  • {"unique-ip"=>"103", "full-text"=>"149", "pdf"=>"13", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"7", "cited-by"=>"2", "year"=>"2020", "month"=>"5"}
  • {"unique-ip"=>"76", "full-text"=>"99", "pdf"=>"9", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"8", "cited-by"=>"0", "year"=>"2020", "month"=>"6"}
  • {"unique-ip"=>"24", "full-text"=>"27", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"7"}
  • {"unique-ip"=>"17", "full-text"=>"17", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"8"}
  • {"unique-ip"=>"23", "full-text"=>"23", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"9"}
  • {"unique-ip"=>"28", "full-text"=>"29", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"10", "cited-by"=>"0", "year"=>"2020", "month"=>"10"}

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