Keywords and Co-Occurrence Patterns in the Voynich Manuscript: An Information-Theoretic Analysis
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{"title"=>"Keywords and Co-Occurrence Patterns in the Voynich Manuscript: An Information-Theoretic Analysis", "type"=>"journal", "authors"=>[{"first_name"=>"Marcelo A.", "last_name"=>"Montemurro", "scopus_author_id"=>"55909994700"}, {"first_name"=>"Damián H.", "last_name"=>"Zanette", "scopus_author_id"=>"56262604400"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"369158065", "sgr"=>"84879255055", "issn"=>"19326203", "pmid"=>"23805215", "scopus"=>"2-s2.0-84879255055", "doi"=>"10.1371/journal.pone.0066344"}, "id"=>"714ed167-1af1-356d-98ea-f920a6b25a02", "abstract"=>"The Voynich manuscript has remained so far as a mystery for linguists and cryptologists. While the text written on medieval parchment -using an unknown script system- shows basic statistical patterns that bear resemblance to those from real languages, there are features that suggested to some researches that the manuscript was a forgery intended as a hoax. Here we analyse the long-range structure of the manuscript using methods from information theory. We show that the Voynich manuscript presents a complex organization in the distribution of words that is compatible with those found in real language sequences. We are also able to extract some of the most significant semantic word-networks in the text. These results together with some previously known statistical features of the Voynich manuscript, give support to the presence of a genuine message inside the book.", "link"=>"http://www.mendeley.com/research/keywords-cooccurrence-patterns-voynich-manuscript-informationtheoretic-analysis", "reader_count"=>72, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>3, "Researcher"=>16, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>15, "Student > Postgraduate"=>2, "Student > Master"=>11, "Other"=>6, "Student > Bachelor"=>5, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>1, "Professor"=>6}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>3, "Researcher"=>16, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>15, "Student > Postgraduate"=>2, "Student > Master"=>11, "Other"=>6, "Student > Bachelor"=>5, "Lecturer"=>4, "Lecturer > Senior Lecturer"=>1, "Professor"=>6}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Agricultural and Biological Sciences"=>14, "Arts and Humanities"=>3, "Philosophy"=>4, "Business, Management and Accounting"=>1, "Chemistry"=>1, "Computer Science"=>15, "Engineering"=>2, "Environmental Science"=>2, "Medicine and Dentistry"=>2, "Design"=>1, "Physics and Astronomy"=>9, "Psychology"=>3, "Social Sciences"=>6, "Linguistics"=>6}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Social Sciences"=>{"Social Sciences"=>6}, "Physics and Astronomy"=>{"Physics and Astronomy"=>9}, "Psychology"=>{"Psychology"=>3}, "Unspecified"=>{"Unspecified"=>3}, "Environmental Science"=>{"Environmental Science"=>2}, "Arts and Humanities"=>{"Arts and Humanities"=>3}, "Design"=>{"Design"=>1}, "Engineering"=>{"Engineering"=>2}, "Chemistry"=>{"Chemistry"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>14}, "Computer Science"=>{"Computer Science"=>15}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Linguistics"=>{"Linguistics"=>6}, "Philosophy"=>{"Philosophy"=>4}}, "reader_count_by_country"=>{"United States"=>2, "Luxembourg"=>1, "Brazil"=>2, "United Kingdom"=>3, "France"=>1, "Belarus"=>1, "Germany"=>5, "Russia"=>2}, "group_count"=>2}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1097115"], "description"=>"<p>The graph shows words that have similar patterns of occurrence across the text. The analysis was done on the 100 most informative words in the Voynich text. Only words linked by the strongest of connections are shown (see text for details).</p>", "links"=>[], "tags"=>["Computational biology", "Natural Language Processing", "Cryptography", "Applied mathematics", "Complex systems", "Interdisciplinary physics", "information science", "information theory", "linguistics", "Computational linguistics", "Natural language", "informative", "words", "voynich"], "article_id"=>728315, "categories"=>["Information And Computing Sciences", "Mathematics", "Physics", "Biological Sciences", "Sociology"], "users"=>["Marcelo A. Montemurro", "Damián H. Zanette"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066344.g002", "stats"=>{"downloads"=>1, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Affinities_among_the_most_informative_words_in_the_Voynich_text_/728315", "title"=>"Affinities among the most informative words in the Voynich text.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-21 02:35:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/1097126", "https://ndownloader.figshare.com/files/1097127", "https://ndownloader.figshare.com/files/1097129", "https://ndownloader.figshare.com/files/1097132", "https://ndownloader.figshare.com/files/1097137"], "description"=>"<div><p>The Voynich manuscript has remained so far as a mystery for linguists and cryptologists. While the text written on medieval parchment -using an unknown script system- shows basic statistical patterns that bear resemblance to those from real languages, there are features that suggested to some researches that the manuscript was a forgery intended as a hoax. Here we analyse the long-range structure of the manuscript using methods from information theory. We show that the Voynich manuscript presents a complex organization in the distribution of words that is compatible with those found in real language sequences. We are also able to extract some of the most significant semantic word-networks in the text. These results together with some previously known statistical features of the Voynich manuscript, give support to the presence of a genuine message inside the book.</p></div>", "links"=>[], "tags"=>["Computational biology", "Natural Language Processing", "Cryptography", "Applied mathematics", "Complex systems", "Interdisciplinary physics", "information science", "information theory", "linguistics", "Computational linguistics", "Natural language", "co-occurrence", "patterns", "voynich", "information-theoretic"], "article_id"=>728326, "categories"=>["Information And Computing Sciences", "Mathematics", "Physics", "Biological Sciences", "Sociology"], "users"=>["Marcelo A. Montemurro", "Damián H. Zanette"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0066344.s001", "https://dx.doi.org/10.1371/journal.pone.0066344.s002", "https://dx.doi.org/10.1371/journal.pone.0066344.s003", "https://dx.doi.org/10.1371/journal.pone.0066344.s004", "https://dx.doi.org/10.1371/journal.pone.0066344.s005"], "stats"=>{"downloads"=>12, "page_views"=>31, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Keywords_and_Co_Occurrence_Patterns_in_the_Voynich_Manuscript_An_Information_Theoretic_Analysis_/728326", "title"=>"Keywords and Co-Occurrence Patterns in the Voynich Manuscript: An Information-Theoretic Analysis", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-06-21 02:35:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/1097122"], "description"=>"<p>A) The strongest links between the different sections as determined by the co-occurrence of the most informative words. B) Representative images from the different sections. The two pairs of sections more strongly connected share illustration elements. The Pharmacological and Herbal sections present numerous illustrations of plants, while the Recipes and Astrological sections show numerous instances of flower-like star shapes.</p>", "links"=>[], "tags"=>["Computational biology", "Natural Language Processing", "Cryptography", "Applied mathematics", "Complex systems", "Interdisciplinary physics", "information science", "information theory", "linguistics", "Computational linguistics", "Natural language", "pictorial", "relationships", "sections", "voynich"], "article_id"=>728322, "categories"=>["Information And Computing Sciences", "Mathematics", "Physics", "Biological Sciences", "Sociology"], "users"=>["Marcelo A. Montemurro", "Damián H. Zanette"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066344.g004", "stats"=>{"downloads"=>1, "page_views"=>22, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Linguistic_and_pictorial_relationships_between_the_sections_of_the_Voynich_manuscript_/728322", "title"=>"Linguistic and pictorial relationships between the sections of the Voynich manuscript.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-21 02:35:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/1097113"], "description"=>"<p>A) Information in word distribution as a function of the scale for the Voynich manuscript compared to other five language and symbolic sequences (F: Fortran; C: Chinese; V: Voynich; E: English; L: Latin; Y: yeast DNA). The number of words in all sequences was equal to that of the Voynich text; if the original sequence was longer, the additional words were not considered. B) Scale of maximal information for the sequences considered in A (see Materials and Methods for more details on the language and symbolic sources).</p>", "links"=>[], "tags"=>["Computational biology", "Natural Language Processing", "Cryptography", "Applied mathematics", "Complex systems", "Interdisciplinary physics", "information science", "information theory", "linguistics", "Computational linguistics", "Natural language", "voynich", "manuscript", "carrying"], "article_id"=>728313, "categories"=>["Information And Computing Sciences", "Mathematics", "Physics", "Biological Sciences", "Sociology"], "users"=>["Marcelo A. Montemurro", "Damián H. Zanette"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066344.g001", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_the_Voynich_manuscript_and_different_information_carrying_sequences_/728313", "title"=>"Comparison of the Voynich manuscript and different information carrying sequences.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-21 02:35:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/1097124"], "description"=>"<p>The words in the first column corresponds to the ranking obtained for the partition of the Voynich text that renders the highest total information, as given by Eq. 2. In the second column, the partitions used to compute the information associated with each word were the standard “thematic” divisions of the text. For both columns, the numbers to the right are the information values, in bits, contributed by the respective words (see Materials and Methods).</p>", "links"=>[], "tags"=>["Computational biology", "Natural Language Processing", "Cryptography", "Applied mathematics", "Complex systems", "Interdisciplinary physics", "information science", "information theory", "linguistics", "Computational linguistics", "Natural language", "informative", "words", "voynich"], "article_id"=>728324, "categories"=>["Information And Computing Sciences", "Mathematics", "Physics", "Biological Sciences", "Sociology"], "users"=>["Marcelo A. Montemurro", "Damián H. Zanette"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066344.t001", "stats"=>{"downloads"=>3, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_thirty_most_informative_words_in_the_Voynich_manuscript_/728324", "title"=>"The thirty most informative words in the Voynich manuscript.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-06-21 02:35:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/1097121"], "description"=>"<p>A–I) Cumulative distribution for the same words as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0066344#pone-0066344-g002\" target=\"_blank\">Figure 2</a>. Each panel shows the distribution for the same group of words corresponding to the equally labelled panel in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0066344#pone-0066344-g002\" target=\"_blank\">Figure 2</a>. The vertical lines mark the limits of the “thematic” sections of the Voynich manuscript.</p>", "links"=>[], "tags"=>["Computational biology", "Natural Language Processing", "Cryptography", "Applied mathematics", "Complex systems", "Interdisciplinary physics", "information science", "information theory", "linguistics", "Computational linguistics", "Natural language", "informative", "words", "voynich"], "article_id"=>728321, "categories"=>["Information And Computing Sciences", "Mathematics", "Physics", "Biological Sciences", "Sociology"], "users"=>["Marcelo A. Montemurro", "Damián H. Zanette"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066344.g003", "stats"=>{"downloads"=>3, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cumulative_distribution_of_most_informative_words_in_the_Voynich_text_/728321", "title"=>"Cumulative distribution of most informative words in the Voynich text.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-21 02:35:13"}

PMC Usage Stats | Further Information

  • {"unique-ip"=>"1", "full-text"=>"0", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"5", "cited-by"=>"0", "year"=>"2013", "month"=>"6"}
  • {"unique-ip"=>"10", "full-text"=>"9", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"10", "cited-by"=>"0", "year"=>"2013", "month"=>"7"}
  • {"unique-ip"=>"5", "full-text"=>"4", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"8"}
  • {"unique-ip"=>"2", "full-text"=>"1", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"15", "cited-by"=>"0", "year"=>"2013", "month"=>"9"}
  • {"unique-ip"=>"8", "full-text"=>"7", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"10"}
  • {"unique-ip"=>"11", "full-text"=>"18", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"8", "supp-data"=>"8", "cited-by"=>"0", "year"=>"2013", "month"=>"11"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"12"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"1"}
  • {"unique-ip"=>"16", "full-text"=>"13", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"2"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"3"}
  • {"unique-ip"=>"16", "full-text"=>"44", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"5"}
  • {"unique-ip"=>"14", "full-text"=>"18", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"6"}
  • {"unique-ip"=>"13", "full-text"=>"22", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"4"}
  • {"unique-ip"=>"13", "full-text"=>"14", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2015", "month"=>"4"}
  • {"unique-ip"=>"29", "full-text"=>"40", "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"=>"15", "full-text"=>"18", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"6"}
  • {"unique-ip"=>"8", "full-text"=>"17", "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"=>"14", "full-text"=>"22", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2015", "month"=>"3"}
  • {"unique-ip"=>"14", "full-text"=>"13", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"2"}
  • {"unique-ip"=>"19", "full-text"=>"18", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"8"}
  • {"unique-ip"=>"18", "full-text"=>"21", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"9"}
  • {"unique-ip"=>"15", "full-text"=>"13", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2015", "month"=>"10"}
  • {"unique-ip"=>"13", "full-text"=>"20", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"7"}
  • {"unique-ip"=>"27", "full-text"=>"41", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"8"}
  • {"unique-ip"=>"22", "full-text"=>"23", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"9"}
  • {"unique-ip"=>"8", "full-text"=>"8", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"10"}
  • {"unique-ip"=>"15", "full-text"=>"16", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
  • {"unique-ip"=>"8", "full-text"=>"10", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"11"}
  • {"unique-ip"=>"8", "full-text"=>"10", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"12"}
  • {"unique-ip"=>"12", "full-text"=>"11", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"1"}
  • {"unique-ip"=>"6", "full-text"=>"4", "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"=>"13", "full-text"=>"14", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"8", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2015", "month"=>"12"}
  • {"unique-ip"=>"19", "full-text"=>"21", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"6", "cited-by"=>"0", "year"=>"2016", "month"=>"1"}
  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"3"}
  • {"unique-ip"=>"13", "full-text"=>"14", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
  • {"unique-ip"=>"19", "full-text"=>"21", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"4", "cited-by"=>"0", "year"=>"2016", "month"=>"5"}
  • {"unique-ip"=>"24", "full-text"=>"24", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
  • {"unique-ip"=>"20", "full-text"=>"22", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2016", "month"=>"7"}
  • {"unique-ip"=>"124", "full-text"=>"140", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"12", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2016", "month"=>"8"}
  • {"unique-ip"=>"25", "full-text"=>"25", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2016", "month"=>"9"}
  • {"unique-ip"=>"23", "full-text"=>"25", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"8", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2016", "month"=>"10"}
  • {"unique-ip"=>"11", "full-text"=>"15", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"11"}
  • {"unique-ip"=>"27", "full-text"=>"32", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
  • {"unique-ip"=>"21", "full-text"=>"25", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"14", "supp-data"=>"4", "cited-by"=>"0", "year"=>"2017", "month"=>"1"}
  • {"unique-ip"=>"28", "full-text"=>"33", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"14", "supp-data"=>"4", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
  • {"unique-ip"=>"22", "full-text"=>"23", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
  • {"unique-ip"=>"15", "full-text"=>"18", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"4"}
  • {"unique-ip"=>"24", "full-text"=>"30", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"16", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2017", "month"=>"5"}
  • {"unique-ip"=>"29", "full-text"=>"32", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"12", "supp-data"=>"6", "cited-by"=>"0", "year"=>"2017", "month"=>"6"}
  • {"unique-ip"=>"37", "full-text"=>"43", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"8", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
  • {"unique-ip"=>"44", "full-text"=>"42", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"18", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"8"}
  • {"unique-ip"=>"63", "full-text"=>"66", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"47", "supp-data"=>"11", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
  • {"unique-ip"=>"46", "full-text"=>"53", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"8", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
  • {"unique-ip"=>"49", "full-text"=>"52", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
  • {"unique-ip"=>"32", "full-text"=>"30", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"7", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
  • {"unique-ip"=>"53", "full-text"=>"59", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"22", "supp-data"=>"4", "cited-by"=>"0", "year"=>"2018", "month"=>"1"}
  • {"unique-ip"=>"8", "full-text"=>"9", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2018", "month"=>"2"}
  • {"unique-ip"=>"43", "full-text"=>"49", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
  • {"unique-ip"=>"35", "full-text"=>"47", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"5", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
  • {"unique-ip"=>"26", "full-text"=>"26", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"8", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
  • {"unique-ip"=>"27", "full-text"=>"26", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"4", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
  • {"unique-ip"=>"27", "full-text"=>"28", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"6"}
  • {"unique-ip"=>"44", "full-text"=>"43", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
  • {"unique-ip"=>"35", "full-text"=>"47", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"40", "full-text"=>"45", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"46", "full-text"=>"50", "pdf"=>"9", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"9", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"36", "full-text"=>"37", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"37", "full-text"=>"42", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"31", "full-text"=>"27", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"40", "full-text"=>"56", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"48", "full-text"=>"70", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"95", "full-text"=>"120", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"7", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"42", "full-text"=>"46", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"40", "full-text"=>"50", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"11", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"41", "full-text"=>"48", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}

Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Physical sciences", "average_usage"=>[254, 431, 547, 651, 748, 842, 932, 1017, 1098, 1178, 1259, 1336, 1404]}, {"subject_area"=>"/Social sciences/Linguistics", "average_usage"=>[290, 461, 572, 671, 770, 847, 934, 1000, 1096, 1189, 1263, 1319, 1382]}]}
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