Predicting Cell Cycle Regulated Genes by Causal Interactions
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Mendeley | Further Information

{"title"=>"Predicting cell cycle regulated genes by causal interactions", "type"=>"journal", "authors"=>[{"first_name"=>"Frank", "last_name"=>"Emmert-Streib", "scopus_author_id"=>"15057742200"}, {"first_name"=>"Matthias", "last_name"=>"Dehmer", "scopus_author_id"=>"13404645900"}], "year"=>2009, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-68949215695", "pmid"=>"19688096", "sgr"=>"68949215695", "doi"=>"10.1371/journal.pone.0006633", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "issn"=>"19326203", "pui"=>"355130344"}, "id"=>"14eb5664-b51f-3395-8f96-3df13bbb42c6", "abstract"=>"The fundamental difference between classic and modern biology is that technological innovations allow to generate high-throughput data to get insights into molecular interactions on a genomic scale. These high-throughput data can be used to infer gene networks, e.g., the transcriptional regulatory or signaling network, representing a blue print of the current dynamical state of the cellular system. However, gene networks do not provide direct answers to biological questions, instead, they need to be analyzed to reveal functional information of molecular working mechanisms. In this paper we propose a new approach to analyze the transcriptional regulatory network of yeast to predict cell cycle regulated genes. The novelty of our approach is that, in contrast to all other approaches aiming to predict cell cycle regulated genes, we do not use time series data but base our analysis on the prior information of causal interactions among genes. The major purpose of the present paper is to predict cell cycle regulated genes in S. cerevisiae. Our analysis is based on the transcriptional regulatory network, representing causal interactions between genes, and a list of known periodic genes. No further data are used. Our approach utilizes the causal membership of genes and the hierarchical organization of the transcriptional regulatory network leading to two groups of periodic genes with a well defined direction of information flow. We predict genes as periodic if they appear on unique shortest paths connecting two periodic genes from different hierarchy levels. Our results demonstrate that a classical problem as the prediction of cell cycle regulated genes can be seen in a new light if the concept of a causal membership of a gene is applied consequently. This also shows that there is a wealth of information buried in the transcriptional regulatory network whose unraveling may require more elaborate concepts than it might seem at first.", "link"=>"http://www.mendeley.com/research/predicting-cell-cycle-regulated-genes-causal-interactions", "reader_count"=>26, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>4, "Researcher"=>5, "Student > Ph. D. Student"=>9, "Other"=>2, "Student > Master"=>1, "Student > Bachelor"=>1, "Professor"=>3, "Unspecified"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>4, "Researcher"=>5, "Student > Ph. D. Student"=>9, "Other"=>2, "Student > Master"=>1, "Student > Bachelor"=>1, "Professor"=>3, "Unspecified"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>3, "Biochemistry, Genetics and Molecular Biology"=>1, "Mathematics"=>1, "Agricultural and Biological Sciences"=>17, "Computer Science"=>3, "Unspecified"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>17}, "Computer Science"=>{"Computer Science"=>3}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>1}}, "reader_count_by_country"=>{"Belgium"=>1, "China"=>1, "United Kingdom"=>1, "France"=>2}, "group_count"=>2}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/888765"], "description"=>"<p>Genes declared to be periodic by Cyclebase are indicated by (per). The numbers in the second, third and fourth column correspond to the ranking according to Johnansson et al. <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone.0006633-Johansson1\" target=\"_blank\">[31]</a>, de Lichtenberg et al. <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone.0006633-deLichtenberg1\" target=\"_blank\">[12]</a> and Cyclebase <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone.0006633-Gauthier1\" target=\"_blank\">[30]</a>.</p>", "links"=>[], "tags"=>["genes"], "article_id"=>559232, "categories"=>["Mathematics", "Medicine", "Computational Biology"], "users"=>["Frank Emmert-Streib", "Matthias Dehmer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0006633.t002", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Nine_candidate_genes_first_column_to_be_periodic_/559232", "title"=>"Nine candidate genes (first column) to be periodic.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 05:06:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/888287"], "description"=>"<p>Expression profile for RPH1 for time series data from Spellman et al. <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone.0006633-Spellman1\" target=\"_blank\">[32]</a>.</p>", "links"=>[], "tags"=>["rph1", "et"], "article_id"=>558746, "categories"=>["Mathematics", "Medicine", "Computational Biology"], "users"=>["Frank Emmert-Streib", "Matthias Dehmer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0006633.g010", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Expression_profile_for_RPH1_for_time_series_data_from_S_pellman_et_al_32_/558746", "title"=>"Expression profile for RPH1 for time series data from Spellman et al. [32].", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 05:03:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/888665"], "description"=>"<p>Expression profile for ADR1 for time series data from Spellman et al. <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone.0006633-Spellman1\" target=\"_blank\">[32]</a>.</p>", "links"=>[], "tags"=>["adr1", "et"], "article_id"=>559130, "categories"=>["Mathematics", "Medicine", "Computational Biology"], "users"=>["Frank Emmert-Streib", "Matthias Dehmer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0006633.g013", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Expression_profile_for_ADR1_for_time_series_data_from_S_pellman_et_al_32_/559130", "title"=>"Expression profile for ADR1 for time series data from Spellman et al. [32].", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 05:05:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/887687"], "description"=>"<p>The shown subnetwork complements the results in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone-0006633-t001\" target=\"_blank\">table 1</a> by providing detailed information about the genes involved in the shortest paths. Blue edges indicate the shortest path connecting RAP1→RPH1→SPH1.</p>", "links"=>[], "tags"=>["trn", "consisting", "24", "genes"], "article_id"=>558147, "categories"=>["Mathematics", "Medicine", "Computational Biology"], "users"=>["Frank Emmert-Streib", "Matthias Dehmer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0006633.g004", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Subnetwork_of_the_TRN_consisting_of_24_genes_color_code_as_in_Fig_1_/558147", "title"=>"Subnetwork of the TRN consisting of 24 genes (color code as in Fig. 1).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 05:00:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/888830"], "description"=>"<p>For example the length of the shortest path from REB1 to WSC2 (first line) is 4. The number in brackets indicates the length of the minimal shortest paths.</p>", "links"=>[], "tags"=>["shortest", "paths", "periodic", "genes", "scc", "connected", "non"], "article_id"=>559284, "categories"=>["Mathematics", "Medicine", "Computational Biology"], "users"=>["Frank Emmert-Streib", "Matthias Dehmer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0006633.t001", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Length_of_the_shortest_paths_from_all_nine_periodic_genes_in_the_SCC_first_row_to_periodic_genes_in_connected_via_at_least_one_non_periodic_gene_first_column_/559284", "title"=>"Length of the shortest paths from all nine periodic genes in the SCC (first row) to periodic genes in connected via at least one non periodic gene (first column).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 05:06:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/887416"], "description"=>"<p>Nodes in orange correspond to periodic genes that are not in the SCC (170), green genes are periodic and in the SCC (9), red genes (27) are in the SCC but are not periodic and blue nodes (25) are genes not categorized as periodic according to <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone.0006633-Zhao1\" target=\"_blank\">[18]</a>. The connections shown are shortest paths connecting the periodic genes. All other connections are omitted.</p>", "links"=>[], "tags"=>["trn", "shown", "230"], "article_id"=>557873, "categories"=>["Mathematics", "Medicine", "Computational Biology"], "users"=>["Frank Emmert-Streib", "Matthias Dehmer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0006633.g001", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Subnetwork_of_the_TRN_of_yeast_Shown_are_230_genes_/557873", "title"=>"Subnetwork of the TRN of yeast. Shown are 230 genes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 04:58:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/887860"], "description"=>"<p>Color code of the nodes is as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone-0006633-g001\" target=\"_blank\">Fig. 1</a>. The shown subnetwork complements the results in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone-0006633-t001\" target=\"_blank\">table 1</a> by providing detailed information about the genes involved in the shortest paths. Blue edges indicate the shortest path connecting FKH2→YHP1→ADR1→PIP2→EEB1.</p>", "links"=>[], "tags"=>["trn", "yeast", "containing", "24"], "article_id"=>558319, "categories"=>["Mathematics", "Medicine", "Computational Biology"], "users"=>["Frank Emmert-Streib", "Matthias Dehmer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0006633.g006", "stats"=>{"downloads"=>0, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Subnetwork_of_the_TRN_of_yeast_containing_24_genes_/558319", "title"=>"Subnetwork of the TRN of yeast containing 24 genes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 05:01:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/888050"], "description"=>"<p>Color code of the nodes is as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone-0006633-g001\" target=\"_blank\">Fig. 1</a>. The shown subnetwork complements the results in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone-0006633-t001\" target=\"_blank\">table 1</a> by providing detailed information about the genes involved in the shortest paths. The blue edges indicate the shortest path connecting FKH2→SWI5→.</p>", "links"=>[], "tags"=>["trn", "yeast", "containing", "30"], "article_id"=>558512, "categories"=>["Mathematics", "Medicine", "Computational Biology"], "users"=>["Frank Emmert-Streib", "Matthias Dehmer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0006633.g008", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Subnetwork_of_the_TRN_of_yeast_containing_30_genes_/558512", "title"=>"Subnetwork of the TRN of yeast containing 30 genes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 05:02:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/887771"], "description"=>"<p>The shown subnetwork complements the results in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone-0006633-t001\" target=\"_blank\">table 1</a> by providing detailed information about the genes involved in the shortest paths. Blue edges indicate the shortest path connecting HCM1→ECM22→ERG3.</p>", "links"=>[], "tags"=>["trn", "consisting", "20", "genes"], "article_id"=>558237, "categories"=>["Mathematics", "Medicine", "Computational Biology"], "users"=>["Frank Emmert-Streib", "Matthias Dehmer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0006633.g005", "stats"=>{"downloads"=>0, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Subnetwork_of_the_TRN_consisting_of_20_genes_color_code_as_in_Fig_1_/558237", "title"=>"Subnetwork of the TRN consisting of 20 genes (color code as in Fig. 1).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 05:00:38"}
  • {"files"=>["https://ndownloader.figshare.com/files/888432"], "description"=>"<p>Expression profile for SRD1 for time series data from Spellman et al. <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone.0006633-Spellman1\" target=\"_blank\">[32]</a>.</p>", "links"=>[], "tags"=>["srd1", "et"], "article_id"=>558894, "categories"=>["Mathematics", "Medicine", "Computational Biology"], "users"=>["Frank Emmert-Streib", "Matthias Dehmer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0006633.g011", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Expression_profile_for_SRD1_for_time_series_data_from_S_pellman_et_al_32_/558894", "title"=>"Expression profile for SRD1 for time series data from Spellman et al. [32].", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 05:04:16"}
  • {"files"=>["https://ndownloader.figshare.com/files/887953"], "description"=>"<p>Color code of the nodes is as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone-0006633-g001\" target=\"_blank\">Fig. 1</a>. The shown subnetwork complements the results in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone-0006633-t001\" target=\"_blank\">table 1</a> by providing detailed information about the genes involved in the shortest paths. Blue edges indicate the shortest path connecting TOS4→TEC1→SRD1→YLL032C.</p>", "links"=>[], "tags"=>["trn", "yeast", "containing", "30"], "article_id"=>558411, "categories"=>["Mathematics", "Medicine", "Computational Biology"], "users"=>["Frank Emmert-Streib", "Matthias Dehmer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0006633.g007", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Subnetwork_of_the_TRN_of_yeast_containing_30_genes_/558411", "title"=>"Subnetwork of the TRN of yeast containing 30 genes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 05:01:38"}
  • {"files"=>["https://ndownloader.figshare.com/files/888794"], "description"=>"<p>The first column gives the gene name, the second and third give the rank of the gene according to Johnansson et al. <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone.0006633-Johansson1\" target=\"_blank\">[31]</a> and de Lichtenberg et al. <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone.0006633-deLichtenberg1\" target=\"_blank\">[12]</a> and the fourth column gives the ranking according to Cyclesbase <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone.0006633-Gauthier1\" target=\"_blank\">[30]</a>. In brackets we indicate if a gene is declared periodic (per) or alternatively the p-values () for periodicity () and regulation ().</p>", "links"=>[], "tags"=>["non-periodic", "genes"], "article_id"=>559260, "categories"=>["Mathematics", "Medicine", "Computational Biology"], "users"=>["Frank Emmert-Streib", "Matthias Dehmer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0006633.t003", "stats"=>{"downloads"=>0, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_All_non_periodic_genes_in_the_SCC_/559260", "title"=>"All non-periodic genes in the SCC.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 05:06:17"}
  • {"files"=>["https://ndownloader.figshare.com/files/887579"], "description"=>"<p>The shown subnetwork complements the results in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone-0006633-t001\" target=\"_blank\">table 1</a> by providing detailed information about the genes involved in the shortest paths. Blue edges indicate the shortest path connecting RAP1→TYE7→MNN1.</p>", "links"=>[], "tags"=>["trn", "consisting", "20", "genes"], "article_id"=>558041, "categories"=>["Mathematics", "Medicine", "Computational Biology"], "users"=>["Frank Emmert-Streib", "Matthias Dehmer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0006633.g003", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Subnetwork_of_the_TRN_consisting_of_20_genes_color_code_as_in_Fig_1_/558041", "title"=>"Subnetwork of the TRN consisting of 20 genes (color code as in Fig. 1).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 04:59:36"}
  • {"files"=>["https://ndownloader.figshare.com/files/888542"], "description"=>"<p>Expression profile for PIP2 for time series data from Spellman et al. <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone.0006633-Spellman1\" target=\"_blank\">[32]</a>.</p>", "links"=>[], "tags"=>["pip2", "et"], "article_id"=>558999, "categories"=>["Mathematics", "Medicine", "Computational Biology"], "users"=>["Frank Emmert-Streib", "Matthias Dehmer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0006633.g012", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Expression_profile_for_PIP2_for_time_series_data_from_S_pellman_et_al_32_/558999", "title"=>"Expression profile for PIP2 for time series data from Spellman et al. [32].", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 05:04:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/888136"], "description"=>"<p>Expression profile for STE12 for time series data from Spellman et al. <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone.0006633-Spellman1\" target=\"_blank\">[32]</a>.</p>", "links"=>[], "tags"=>["ste12", "et"], "article_id"=>558597, "categories"=>["Mathematics", "Medicine", "Computational Biology"], "users"=>["Frank Emmert-Streib", "Matthias Dehmer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0006633.g009", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Expression_profile_for_STE12_for_time_series_data_from_S_pellman_et_al_32_/558597", "title"=>"Expression profile for STE12 for time series data from Spellman et al. [32].", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 05:02:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/888855"], "description"=>"<p>P-values for periodicity and for regulation according to the evaluation of Cyclebase <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone.0006633-Gauthier1\" target=\"_blank\">[30]</a>.</p>", "links"=>[], "tags"=>["periodicity", "cyclebase"], "article_id"=>559318, "categories"=>["Mathematics", "Medicine", "Computational Biology"], "users"=>["Frank Emmert-Streib", "Matthias Dehmer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0006633.t004", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_P_values_for_periodicity_and_for_regulation_according_to_the_evaluation_of_Cyclebase_30_/559318", "title"=>"P-values for periodicity and for regulation according to the evaluation of Cyclebase [30].", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-21 05:06:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/887491"], "description"=>"<p>The shown subnetwork complements the results in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0006633#pone-0006633-t001\" target=\"_blank\">table 1</a> by providing detailed information about the genes involved in the shortest paths. Blue edges indicate the shortest path from TOS4→STE12→WSC2.</p>", "links"=>[], "tags"=>["trn", "consisting", "23", "genes"], "article_id"=>557951, "categories"=>["Mathematics", "Medicine", "Computational Biology"], "users"=>["Frank Emmert-Streib", "Matthias Dehmer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0006633.g002", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Subnetwork_of_the_TRN_consisting_of_23_genes_color_code_as_in_Fig_1_/557951", "title"=>"Subnetwork of the TRN consisting of 23 genes (color code as in Fig. 1).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 04:59:08"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"9", "full-text"=>"8", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"1", "full-text"=>"1", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"3", "full-text"=>"1", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"5", "full-text"=>"7", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}

Relative Metric

{"start_date"=>"2009-01-01T00:00:00Z", "end_date"=>"2009-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[349, 614, 744, 851, 955, 1059, 1167, 1262, 1352, 1431, 1516, 1593, 1668, 1746, 1817, 1883, 1950, 2017, 2075, 2141, 2198, 2254, 2313, 2368, 2424, 2474, 2534, 2591, 2651, 2710, 2776, 2837, 2892, 2953, 3014, 3072, 3130, 3186, 3251, 3307, 3366, 3427, 3500, 3561, 3627, 3688, 3759, 3821, 3888, 3950, 4010, 4070, 4131, 4189, 4242, 4307, 4370, 4431, 4491, 4549, 4608]}, {"subject_area"=>"/Biology and life sciences/Genetics", "average_usage"=>[366, 637, 775, 896, 999, 1118, 1230, 1322, 1416, 1516, 1602, 1685, 1767, 1849, 1914, 1982, 2049, 2120, 2185, 2246, 2303, 2363, 2409, 2473, 2535, 2599, 2655, 2717, 2777, 2842, 2906, 2977, 3021, 3088, 3144, 3199, 3253, 3317, 3379, 3456, 3508, 3567, 3634, 3716, 3781, 3853, 3911, 3974, 4040, 4118, 4170, 4218, 4285, 4341, 4404, 4467, 4527, 4584, 4631, 4689, 4725]}, {"subject_area"=>"/Biology and life sciences/Organisms", "average_usage"=>[337, 605, 735, 844, 939, 1037, 1139, 1214, 1300, 1375, 1461, 1543, 1619, 1693, 1768, 1827, 1881, 1948, 2013, 2066, 2118, 2172, 2227, 2270, 2325, 2386, 2443, 2504, 2565, 2609, 2659, 2731, 2792, 2857, 2920, 2984, 3051, 3101, 3165, 3213, 3276, 3344, 3397, 3462, 3512, 3561, 3629, 3710, 3779, 3847, 3897, 3949, 4013, 4086, 4140, 4180, 4239, 4288, 4344, 4409, 4470]}, {"subject_area"=>"/Computer and information sciences", "average_usage"=>[464, 812, 944, 1079, 1176, 1278, 1404, 1492, 1580, 1643, 1728, 1807, 1865, 1932, 1998, 2068, 2143, 2207, 2282, 2338, 2391, 2468, 2527, 2585, 2639, 2711, 2774, 2835, 2906, 2979, 3067, 3129, 3215, 3293, 3349, 3419, 3502, 3583, 3706, 3788, 3847, 3897, 3969, 4025, 4109, 4162, 4240, 4346, 4405, 4472, 4532, 4641, 4707, 4792, 4848, 4897, 4931, 4993, 5103, 5158, 5223]}, {"subject_area"=>"/Computer and information sciences/Network analysis", "average_usage"=>[514, 850, 1022, 1151, 1260, 1382, 1495, 1639, 1743, 1856, 1950, 2050, 2127, 2204, 2301, 2421, 2526, 2634, 2731, 2810, 2885, 2972, 3058, 3121, 3153, 3198, 3258, 3304, 3363, 3416, 3480, 3523, 3648, 3744, 3802, 3896, 3973, 4051, 4231, 4309, 4388, 4430, 4496, 4559, 4633, 4676, 4740, 4803, 4859, 5024, 5084, 5133, 5170, 5217, 5241, 5285, 5330, 5369, 5438, 5473, 5526]}]}
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