Wiki Surveys: Open and Quantifiable Social Data Collection
Events
Loading … Spinner

Mendeley | Further Information

{"title"=>"Wiki surveys: Open and quantifiable social data collection", "type"=>"journal", "authors"=>[{"first_name"=>"Matthew J.", "last_name"=>"Salganik", "scopus_author_id"=>"8242226400"}, {"first_name"=>"Karen E.C.", "last_name"=>"Levy", "scopus_author_id"=>"56576060900"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84930647396", "scopus"=>"2-s2.0-84930647396", "doi"=>"10.1371/journal.pone.0123483", "pui"=>"604611758", "arxiv"=>"1202.0500", "issn"=>"19326203", "pmid"=>"25992565"}, "id"=>"9ba42c03-6e11-38f7-9840-61aa74538762", "abstract"=>"In the social sciences, there is a longstanding tension between data collection methods that facilitate quantification and those that are open to unanticipated information. Advances in technology now enable new, hybrid methods that combine some of the benefits of both approaches. Drawing inspiration from online information aggregation systems like Wikipedia and from traditional survey research, we propose a new class of research instruments called wiki surveys. Just as Wikipedia evolves over time based on contributions from participants, we envision an evolving survey driven by contributions from respondents. We develop three general principles that underlie wiki surveys: they should be greedy, collaborative, and adaptive. Building on these principles, we develop methods for data collection and data analysis for one type of wiki survey, a pairwise wiki survey. Using two proof-of-concept case studies involving our free and open-source website www.allourideas.org, we show that pairwise wiki surveys can yield insights that would be difficult to obtain with other methods.", "link"=>"http://www.mendeley.com/research/wiki-surveys-open-quantifiable-social-data-collection", "reader_count"=>138, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>12, "Librarian"=>1, "Student > Doctoral Student"=>11, "Researcher"=>15, "Student > Ph. D. Student"=>36, "Student > Postgraduate"=>12, "Student > Master"=>22, "Other"=>10, "Student > Bachelor"=>11, "Lecturer"=>2, "Professor"=>5}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>12, "Librarian"=>1, "Student > Doctoral Student"=>11, "Researcher"=>15, "Student > Ph. D. Student"=>36, "Student > Postgraduate"=>12, "Student > Master"=>22, "Other"=>10, "Student > Bachelor"=>11, "Lecturer"=>2, "Professor"=>5}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Agricultural and Biological Sciences"=>3, "Arts and Humanities"=>1, "Business, Management and Accounting"=>9, "Computer Science"=>48, "Economics, Econometrics and Finance"=>3, "Engineering"=>4, "Environmental Science"=>4, "Mathematics"=>5, "Medicine and Dentistry"=>3, "Design"=>4, "Neuroscience"=>1, "Psychology"=>3, "Social Sciences"=>48}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>3}, "Social Sciences"=>{"Social Sciences"=>48}, "Psychology"=>{"Psychology"=>3}, "Mathematics"=>{"Mathematics"=>5}, "Unspecified"=>{"Unspecified"=>2}, "Environmental Science"=>{"Environmental Science"=>4}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Design"=>{"Design"=>4}, "Engineering"=>{"Engineering"=>4}, "Neuroscience"=>{"Neuroscience"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Computer Science"=>{"Computer Science"=>48}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>9}}, "reader_count_by_country"=>{"Greece"=>1, "Canada"=>1, "Austria"=>1, "United States"=>13, "Luxembourg"=>1, "Brazil"=>1, "United Kingdom"=>7, "Israel"=>1, "Australia"=>1, "Switzerland"=>1, "Germany"=>1, "Spain"=>1}, "group_count"=>11}

CrossRef

Scopus | Further Information

{"@_fa"=>"true", "link"=>[{"@_fa"=>"true", "@ref"=>"self", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84930647396"}, {"@_fa"=>"true", "@ref"=>"author-affiliation", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84930647396?field=author,affiliation"}, {"@_fa"=>"true", "@ref"=>"scopus", "@href"=>"https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84930647396&origin=inward"}, {"@_fa"=>"true", "@ref"=>"scopus-citedby", "@href"=>"https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84930647396&origin=inward"}], "prism:url"=>"https://api.elsevier.com/content/abstract/scopus_id/84930647396", "dc:identifier"=>"SCOPUS_ID:84930647396", "eid"=>"2-s2.0-84930647396", "dc:title"=>"Wiki surveys: Open and quantifiable social data collection", "dc:creator"=>"Salganik M.", "prism:publicationName"=>"PLoS ONE", "prism:eIssn"=>"19326203", "prism:volume"=>"10", "prism:issueIdentifier"=>"5", "prism:pageRange"=>nil, "prism:coverDate"=>"2015-05-20", "prism:coverDisplayDate"=>"20 May 2015", "prism:doi"=>"10.1371/journal.pone.0123483", "citedby-count"=>"8", "affiliation"=>[{"@_fa"=>"true", "affilname"=>"Princeton University", "affiliation-city"=>"Princeton", "affiliation-country"=>"United States"}], "pubmed-id"=>"25992565", "prism:aggregationType"=>"Journal", "subtype"=>"ar", "subtypeDescription"=>"Article", "article-number"=>"e0123483", "source-id"=>"10600153309"}

Facebook

  • {"url"=>"http%3A%2F%2Fjournals.plos.org%2Fplosone%2Farticle%3Fid%3D10.1371%252Fjournal.pone.0123483", "share_count"=>7, "like_count"=>16, "comment_count"=>4, "click_count"=>0, "total_count"=>27}

Twitter

Counter

  • {"month"=>"5", "year"=>"2015", "pdf_views"=>"47", "xml_views"=>"6", "html_views"=>"852"}
  • {"month"=>"6", "year"=>"2015", "pdf_views"=>"27", "xml_views"=>"1", "html_views"=>"307"}
  • {"month"=>"7", "year"=>"2015", "pdf_views"=>"22", "xml_views"=>"0", "html_views"=>"180"}
  • {"month"=>"8", "year"=>"2015", "pdf_views"=>"32", "xml_views"=>"1", "html_views"=>"379"}
  • {"month"=>"9", "year"=>"2015", "pdf_views"=>"31", "xml_views"=>"1", "html_views"=>"286"}
  • {"month"=>"10", "year"=>"2015", "pdf_views"=>"22", "xml_views"=>"0", "html_views"=>"261"}
  • {"month"=>"11", "year"=>"2015", "pdf_views"=>"28", "xml_views"=>"1", "html_views"=>"223"}
  • {"month"=>"12", "year"=>"2015", "pdf_views"=>"36", "xml_views"=>"0", "html_views"=>"375"}
  • {"month"=>"1", "year"=>"2016", "pdf_views"=>"23", "xml_views"=>"0", "html_views"=>"386"}
  • {"month"=>"2", "year"=>"2016", "pdf_views"=>"11", "xml_views"=>"0", "html_views"=>"277"}
  • {"month"=>"3", "year"=>"2016", "pdf_views"=>"18", "xml_views"=>"0", "html_views"=>"257"}
  • {"month"=>"4", "year"=>"2016", "pdf_views"=>"46", "xml_views"=>"0", "html_views"=>"339"}
  • {"month"=>"5", "year"=>"2016", "pdf_views"=>"29", "xml_views"=>"0", "html_views"=>"238"}
  • {"month"=>"6", "year"=>"2016", "pdf_views"=>"35", "xml_views"=>"0", "html_views"=>"229"}
  • {"month"=>"7", "year"=>"2016", "pdf_views"=>"30", "xml_views"=>"0", "html_views"=>"198"}
  • {"month"=>"8", "year"=>"2016", "pdf_views"=>"40", "xml_views"=>"0", "html_views"=>"219"}
  • {"month"=>"9", "year"=>"2016", "pdf_views"=>"32", "xml_views"=>"0", "html_views"=>"346"}
  • {"month"=>"10", "year"=>"2016", "pdf_views"=>"42", "xml_views"=>"0", "html_views"=>"312"}
  • {"month"=>"11", "year"=>"2016", "pdf_views"=>"39", "xml_views"=>"0", "html_views"=>"403"}
  • {"month"=>"12", "year"=>"2016", "pdf_views"=>"25", "xml_views"=>"0", "html_views"=>"276"}
  • {"month"=>"1", "year"=>"2017", "pdf_views"=>"36", "xml_views"=>"2", "html_views"=>"284"}
  • {"month"=>"2", "year"=>"2017", "pdf_views"=>"29", "xml_views"=>"0", "html_views"=>"297"}
  • {"month"=>"3", "year"=>"2017", "pdf_views"=>"21", "xml_views"=>"0", "html_views"=>"330"}
  • {"month"=>"4", "year"=>"2017", "pdf_views"=>"32", "xml_views"=>"0", "html_views"=>"362"}
  • {"month"=>"5", "year"=>"2017", "pdf_views"=>"21", "xml_views"=>"0", "html_views"=>"342"}
  • {"month"=>"6", "year"=>"2017", "pdf_views"=>"30", "xml_views"=>"1", "html_views"=>"310"}
  • {"month"=>"7", "year"=>"2017", "pdf_views"=>"50", "xml_views"=>"1", "html_views"=>"325"}
  • {"month"=>"8", "year"=>"2017", "pdf_views"=>"62", "xml_views"=>"3", "html_views"=>"346"}
  • {"month"=>"9", "year"=>"2017", "pdf_views"=>"23", "xml_views"=>"2", "html_views"=>"352"}
  • {"month"=>"10", "year"=>"2017", "pdf_views"=>"49", "xml_views"=>"2", "html_views"=>"479"}
  • {"month"=>"11", "year"=>"2017", "pdf_views"=>"18", "xml_views"=>"1", "html_views"=>"320"}

Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2076433"], "description"=>"<p>The PlaNYC wiki survey ran from October 7, 2010 to January 30, 2011. The OECD wiki survey ran from September 15, 2010 to October 15, 2010. In both cases the pool of ideas grew over time as respondents contributed to the wiki survey. PlaNYC had 25 seed ideas and 464 user-contributed ideas, 244 of which the Mayor’s Office activated. The OECD had 60 seed ideas (6 of which it deactivated during the course of the survey), and 534 user-contributed ideas, 231 of which it activated. In both cases, ideas that were deemed inappropriate or duplicative were not activated.</p>", "links"=>[], "tags"=>["pairwise wiki surveys", "wiki surveys", "Quantifiable Social Data Collection", "pairwise wiki survey", "information aggregation systems", "data collection methods"], "article_id"=>1421216, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Matthew J. Salganik", "Karen E. C. Levy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0123483.g004", "stats"=>{"downloads"=>0, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cumulative_number_of_activated_ideas_for_PlaNYC_A_and_OECD_B_/1421216", "title"=>"Cumulative number of activated ideas for PlaNYC [A] and OECD [B].", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-05-20 03:39:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/2076428"], "description"=>"<p>These systems can handle both heavy contributors (“the fat head”), shown on the left side of the plot, and light contributors (“the long tail”), shows on the right side of the plot. Traditional survey methods utilize information from neither the “fat head” nor the “long tail” and thus leave huge amounts of information uncollected.</p>", "links"=>[], "tags"=>["pairwise wiki surveys", "wiki surveys", "Quantifiable Social Data Collection", "pairwise wiki survey", "information aggregation systems", "data collection methods"], "article_id"=>1421211, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Matthew J. Salganik", "Karen E. C. Levy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0123483.g001", "stats"=>{"downloads"=>3, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Schematic_of_rank_order_plot_of_contributions_to_successful_online_information_aggregation_projects_/1421211", "title"=>"Schematic of rank order plot of contributions to successful online information aggregation projects.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-05-20 03:39:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/2076442", "https://ndownloader.figshare.com/files/2076443"], "description"=>"<div><p>In the social sciences, there is a longstanding tension between data collection methods that facilitate quantification and those that are open to unanticipated information. Advances in technology now enable new, hybrid methods that combine some of the benefits of both approaches. Drawing inspiration from online information aggregation systems like Wikipedia and from traditional survey research, we propose a new class of research instruments called <i>wiki surveys</i>. Just as Wikipedia evolves over time based on contributions from participants, we envision an evolving survey driven by contributions from respondents. We develop three general principles that underlie wiki surveys: they should be greedy, collaborative, and adaptive. Building on these principles, we develop methods for data collection and data analysis for one type of wiki survey, a pairwise wiki survey. Using two proof-of-concept case studies involving our free and open-source website <a href=\"http://www.allourideas.org\" target=\"_blank\">www.allourideas.org</a>, we show that pairwise wiki surveys can yield insights that would be difficult to obtain with other methods.</p></div>", "links"=>[], "tags"=>["pairwise wiki surveys", "wiki surveys", "Quantifiable Social Data Collection", "pairwise wiki survey", "information aggregation systems", "data collection methods"], "article_id"=>1421225, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Matthew J. Salganik", "Karen E. C. Levy"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0123483.s001", "https://dx.doi.org/10.1371/journal.pone.0123483.s002"], "stats"=>{"downloads"=>8, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Wiki_Surveys_Open_and_Quantifiable_Social_Data_Collection_/1421225", "title"=>"Wiki Surveys: Open and Quantifiable Social Data Collection", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-05-20 03:39:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/2076440"], "description"=>"<p>In both cases, some of the lowest-scoring ideas were user-contributed, but critically, some of the highest-scoring ideas were also user-contributed. In general, the large number of user-contributed ideas, combined with their high variance, means that they typically include some extremely popular ideas. Posterior intervals for each estimate are not shown.</p>", "links"=>[], "tags"=>["pairwise wiki surveys", "wiki surveys", "Quantifiable Social Data Collection", "pairwise wiki survey", "information aggregation systems", "data collection methods"], "article_id"=>1421223, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Matthew J. Salganik", "Karen E. C. Levy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0123483.g007", "stats"=>{"downloads"=>0, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distribution_of_scores_of_seed_ideas_and_user_contributed_ideas_for_PlaNYC_A_and_OECD_B_/1421223", "title"=>"Distribution of scores of seed ideas and user-contributed ideas for PlaNYC [A] and OECD [B].", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-05-20 03:39:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/2076430"], "description"=>"<p>This example is from a pairwise wiki survey created by the New York City Mayor’s Office to learn about residents’ ideas about how to make New York “greener and greater.”</p>", "links"=>[], "tags"=>["pairwise wiki surveys", "wiki surveys", "Quantifiable Social Data Collection", "pairwise wiki survey", "information aggregation systems", "data collection methods"], "article_id"=>1421213, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Matthew J. Salganik", "Karen E. C. Levy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0123483.g002", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Response_and_results_interfaces_at_www_allourideas_org_/1421213", "title"=>"Response and results interfaces at www.allourideas.org.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-05-20 03:39:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/2076438"], "description"=>"<p>Ideas that were contributed by respondents are printed in a bold/italic font and marked by closed circles; seed ideas are printed in a standard font and marked by open circles. In the case of PlaNYC, 8 of the 10 highest-scoring ideas were contributed by respondents. In the case of the OECD, 7 of the 10 highest-scoring ideas were contributed by respondents. Horizontal lines show 95% posterior intervals.</p>", "links"=>[], "tags"=>["pairwise wiki surveys", "wiki surveys", "Quantifiable Social Data Collection", "pairwise wiki survey", "information aggregation systems", "data collection methods"], "article_id"=>1421221, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Matthew J. Salganik", "Karen E. C. Levy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0123483.g006", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Ten_highest_scoring_ideas_for_PlanNYC_A_and_OECD_B_/1421221", "title"=>"Ten highest-scoring ideas for PlanNYC [A] and OECD [B].", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-05-20 03:39:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/2076434"], "description"=>"<p>Both the number of responses per respondent and the number of ideas contributed per respondent show a “fat head” and a “long tail.” Note that the scales on the figures are different.</p>", "links"=>[], "tags"=>["pairwise wiki surveys", "wiki surveys", "Quantifiable Social Data Collection", "pairwise wiki survey", "information aggregation systems", "data collection methods"], "article_id"=>1421217, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Matthew J. Salganik", "Karen E. C. Levy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0123483.g005", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distribution_of_contribution_per_respondent_for_PlaNYC_A_and_OECD_B_/1421217", "title"=>"Distribution of contribution per respondent for PlaNYC [A] and OECD [B].", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-05-20 03:39:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/2076432"], "description"=>"<p>We use responses to estimate the opinion matrix <b>Θ</b> and then we summarize the opinion matrix with the scores of each item.</p>", "links"=>[], "tags"=>["pairwise wiki surveys", "wiki surveys", "Quantifiable Social Data Collection", "pairwise wiki survey", "information aggregation systems", "data collection methods"], "article_id"=>1421215, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Matthew J. Salganik", "Karen E. C. Levy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0123483.g003", "stats"=>{"downloads"=>3, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_of_data_analysis_plan_/1421215", "title"=>"Summary of data analysis plan.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-05-20 03:39:53"}

PMC Usage Stats | Further Information

  • {"unique-ip"=>"1", "full-text"=>"2", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"5"}
  • {"unique-ip"=>"27", "full-text"=>"13", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2015", "month"=>"6"}
  • {"unique-ip"=>"10", "full-text"=>"10", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"7"}
  • {"unique-ip"=>"18", "full-text"=>"17", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"8"}
  • {"unique-ip"=>"23", "full-text"=>"20", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2015", "month"=>"9"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"10"}
  • {"unique-ip"=>"13", "full-text"=>"13", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
  • {"unique-ip"=>"15", "full-text"=>"12", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"11"}
  • {"unique-ip"=>"11", "full-text"=>"5", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"12"}
  • {"unique-ip"=>"8", "full-text"=>"6", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"1"}
  • {"unique-ip"=>"11", "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"=>"3"}
  • {"unique-ip"=>"9", "full-text"=>"11", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"5"}
  • {"unique-ip"=>"9", "full-text"=>"6", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "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"=>"2016", "month"=>"7"}
  • {"unique-ip"=>"13", "full-text"=>"11", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"8"}
  • {"unique-ip"=>"11", "full-text"=>"12", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"9"}
  • {"unique-ip"=>"9", "full-text"=>"10", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"10"}
  • {"unique-ip"=>"14", "full-text"=>"12", "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"=>"21", "full-text"=>"23", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
  • {"unique-ip"=>"12", "full-text"=>"12", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"1"}
  • {"unique-ip"=>"12", "full-text"=>"14", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
  • {"unique-ip"=>"18", "full-text"=>"19", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
  • {"unique-ip"=>"16", "full-text"=>"16", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2017", "month"=>"4"}
  • {"unique-ip"=>"21", "full-text"=>"19", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"5"}
  • {"unique-ip"=>"24", "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"=>"6"}
  • {"unique-ip"=>"10", "full-text"=>"10", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
  • {"unique-ip"=>"16", "full-text"=>"15", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"8"}
  • {"unique-ip"=>"15", "full-text"=>"16", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
  • {"unique-ip"=>"20", "full-text"=>"22", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "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