Functional Associations by Response Overlap (FARO), a Functional Genomics Approach Matching Gene Expression Phenotypes
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{"title"=>"Functional associations by response overlap (FARO), a functional genomics approach matching gene expression phenotypes", "type"=>"journal", "authors"=>[{"first_name"=>"Henrik Bjorn", "last_name"=>"Nielsen", "scopus_author_id"=>"16146137400"}, {"first_name"=>"John", "last_name"=>"Mundy", "scopus_author_id"=>"7101652002"}, {"first_name"=>"Hanni", "last_name"=>"Willenbrock", "scopus_author_id"=>"6507392419"}], "year"=>2007, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-40149088451", "doi"=>"10.1371/journal.pone.0000676", "sgr"=>"40149088451", "isbn"=>"1932-6203 (Linking)", "pmid"=>"17668056", "issn"=>"19326203", "pui"=>"351325421"}, "id"=>"d0b0ccf2-0814-32d4-94d1-5a98d36f7d0e", "abstract"=>"The systematic comparison of transcriptional responses of organisms is a powerful tool in functional genomics. For example, mutants may be characterized by comparing their transcript profiles to those obtained in other experiments querying the effects on gene expression of many experimental factors including treatments, mutations and pathogen infections. Similarly, drugs may be discovered by the relationship between the transcript profiles effectuated or impacted by a candidate drug and by the target disease. The integration of such data enables systems biology to predict the interplay between experimental factors affecting a biological system. Unfortunately, direct comparisons of gene expression profiles obtained in independent, publicly available microarray experiments are typically compromised by substantial, experiment-specific biases. Here we suggest a novel yet conceptually simple approach for deriving 'Functional Association(s) by Response Overlap' (FARO) between microarray gene expression studies. The transcriptional response is defined by the set of differentially expressed genes independent from the magnitude or direction of the change. This approach overcomes the limited comparability between studies that is typical for methods that rely on correlation in gene expression. We apply FARO to a compendium of 242 diverse Arabidopsis microarray experimental factors, including phyto-hormones, stresses and pathogens, growth conditions/stages, tissue types and mutants. We also use FARO to confirm and further delineate the functions of Arabidopsis MAP kinase 4 in disease and stress responses. Furthermore, we find that a large, well-defined set of genes responds in opposing directions to different stress conditions and predict the effects of different stress combinations. This demonstrates the usefulness of our approach for exploiting public microarray data to derive biologically meaningful associations between experimental factors. Finally, our results indicate that FARO is more powerful in associating mutants in common pathways than existing methods such as co-expression analysis.", "link"=>"http://www.mendeley.com/research/functional-associations-response-overlap-faro-functional-genomics-approach-matching-gene-expression-1", "reader_count"=>30, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>8, "Researcher"=>9, "Student > Ph. D. Student"=>8, "Student > Postgraduate"=>1, "Student > Master"=>1, "Other"=>2, "Student > Bachelor"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>8, "Researcher"=>9, "Student > Ph. D. Student"=>8, "Student > Postgraduate"=>1, "Student > Master"=>1, "Other"=>2, "Student > Bachelor"=>1}, "reader_count_by_subject_area"=>{"Biochemistry, Genetics and Molecular Biology"=>1, "Agricultural and Biological Sciences"=>23, "Medicine and Dentistry"=>1, "Business, Management and Accounting"=>1, "Chemistry"=>1, "Computer Science"=>3}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Chemistry"=>{"Chemistry"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>23}, "Computer Science"=>{"Computer Science"=>3}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}}, "reader_count_by_country"=>{"United States"=>1, "Egypt"=>1, "Denmark"=>2, "United Kingdom"=>1, "France"=>1, "Germany"=>1, "Spain"=>1}, "group_count"=>0}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/946651"], "description"=>"<p>The 241 experimental factors (spheres/nodes) in the compendium of responses are divided into 8 categories indicated by different colors. Only edges (lines connecting factors) and names for experimental factors with strong associations to the <i>mpk4</i> mutant are shown. Thicker edges and bold factor fonts indicate increasing association strength. Edge arrows or hammerheads, respectively, indicate highly significant congruent or dissimilar (opposite) response direction of the overlapping genes. Significant factors are positioned inside the circle of non-significant factors solely for typographical reasons. NASCArray accession numbers are in parentheses.</p>", "links"=>[], "tags"=>["arabidopsis"], "article_id"=>617008, "categories"=>["Infectious Diseases", "Medicine", "Genetics"], "users"=>["Henrik Bjørn Nielsen", "John Mundy", "Hanni Willenbrock"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0000676.g002", "stats"=>{"downloads"=>2, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_FARO_map_of_the_Arabidopsis_mpk4_mutant_/617008", "title"=>"FARO map of the Arabidopsis <i>mpk4</i> mutant.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2007-08-01 01:56:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/946896"], "description"=>"<p>A) Expression profiles of the 657 tissue-specific stress response genes for nine different stress conditions. Color bar values correspond to log<sub>2</sub>-fold changes of gene expression values for stress versus controls. The clustering shown is based on congruence between the stress responses. Vertical lines indicate main groups borders. B) Agriculturally important stress combinations (adapted from <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000676#pone.0000676-Mittler1\" target=\"_blank\">[33]</a>. Different combinations of abiotic stresses are presented in a matrix to demonstrate potential interactions with agronomic implications. Different interactions are color-coded to indicate potential negative (green, enhanced damage or lethality due to the stress combination) or potential positive (blue, cross-protection due to stress combination) effects. Black borders surround stress types with congruent response (main groups from 5A). Red border surrounds the only inconsistency between the grouping and known interaction (UV vs. Oxidative stress). C) Box plot of the expression profile of the 222 genes that are differentially expressed under all nine tissue-specific stress conditions and in the <i>mpk4</i> mutant. Notches indicate 95% confidence interval for the median and whiskers two standard deviations.</p>", "links"=>[], "tags"=>["abiotic"], "article_id"=>617251, "categories"=>["Infectious Diseases", "Medicine", "Genetics"], "users"=>["Henrik Bjørn Nielsen", "John Mundy", "Hanni Willenbrock"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0000676.g005", "stats"=>{"downloads"=>2, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Tissue_specific_abiotic_stress_/617251", "title"=>"Tissue-specific abiotic stress.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2007-08-01 02:00:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/946744"], "description"=>"<p>The response overlap between <i>mpk4</i> and selected experimental factors are shown. The dark and light areas of the bars indicate congruent and dissimilar gene expression between <i>mpk4</i> and an experimental factor, respectively.</p>", "links"=>[], "tags"=>["congruence"], "article_id"=>617107, "categories"=>["Infectious Diseases", "Medicine", "Genetics"], "users"=>["Henrik Bjørn Nielsen", "John Mundy", "Hanni Willenbrock"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0000676.g003", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Bar_plot_of_gene_expression_congruence_and_dissimilarity_/617107", "title"=>"Bar plot of gene expression congruence and dissimilarity.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2007-08-01 01:58:27"}
  • {"files"=>["https://ndownloader.figshare.com/files/466096", "https://ndownloader.figshare.com/files/466104", "https://ndownloader.figshare.com/files/466113", "https://ndownloader.figshare.com/files/466119"], "description"=>"<div><p>The systematic comparison of transcriptional responses of organisms is a powerful tool in functional genomics. For example, mutants may be characterized by comparing their transcript profiles to those obtained in other experiments querying the effects on gene expression of many experimental factors including treatments, mutations and pathogen infections. Similarly, drugs may be discovered by the relationship between the transcript profiles effectuated or impacted by a candidate drug and by the target disease. The integration of such data enables systems biology to predict the interplay between experimental factors affecting a biological system. Unfortunately, direct comparisons of gene expression profiles obtained in independent, publicly available microarray experiments are typically compromised by substantial, experiment-specific biases. Here we suggest a novel yet conceptually simple approach for deriving ‘Functional Association(s) by Response Overlap’ (FARO) between microarray gene expression studies. The transcriptional response is defined by the set of differentially expressed genes independent from the magnitude or direction of the change. This approach overcomes the limited comparability between studies that is typical for methods that rely on correlation in gene expression. We apply FARO to a compendium of 242 diverse <em>Arabidopsis</em> microarray experimental factors, including phyto-hormones, stresses and pathogens, growth conditions/stages, tissue types and mutants. We also use FARO to confirm and further delineate the functions of <em>Arabidopsis</em> MAP kinase 4 in disease and stress responses. Furthermore, we find that a large, well-defined set of genes responds in opposing directions to different stress conditions and predict the effects of different stress combinations. This demonstrates the usefulness of our approach for exploiting public microarray data to derive biologically meaningful associations between experimental factors. Finally, our results indicate that FARO is more powerful in associating mutants in common pathways than existing methods such as co-expression analysis.</p></div>", "links"=>[], "tags"=>["associations", "overlap", "genomics", "matching", "phenotypes"], "article_id"=>151878, "categories"=>["Cancer", "Medicine", "Genetics"], "users"=>["Henrik Bjørn Nielsen", "John Mundy", "Hanni Willenbrock"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0000676.s001", "https://dx.doi.org/10.1371/journal.pone.0000676.s002", "https://dx.doi.org/10.1371/journal.pone.0000676.s003", "https://dx.doi.org/10.1371/journal.pone.0000676.s004"], "stats"=>{"downloads"=>4, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Functional_Associations_by_Response_Overlap_FARO_a_Functional_Genomics_Approach_Matching_Gene_Expression_Phenotypes/151878", "title"=>"Functional Associations by Response Overlap (FARO), a Functional Genomics Approach Matching Gene Expression Phenotypes", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2007-08-01 00:31:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/946581"], "description"=>"<p>A large number of gene expression studies from a microarray data repository are analyzed individually, resulting in a compendium of gene expression responses. Each of these responses corresponds to a list of top ranking, differentially expressed genes. A query response, for example a response measured in a new microarray experiment, may then be compared to the compendium responses (cr) and the response overlap in terms of common, differentially expressed genes determined. The strength of an association is determined by the size of the overlap and the result illustrated in a FARO map (bottom right and <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000676#pone-0000676-g002\" target=\"_blank\">Figure 2</a>). In the example, the query response demonstrates significant associations to compendium factors 1, 3, 4, and 5. Moreover, it is possible to test if the direction of a response is predominantly dissimilar (factor 4) or congruent (factor 5). This is indicated in the FARO map by a hammerhead or an arrow, respectively.</p>", "links"=>[], "tags"=>["faro"], "article_id"=>616937, "categories"=>["Infectious Diseases", "Medicine", "Genetics"], "users"=>["Henrik Bjørn Nielsen", "John Mundy", "Hanni Willenbrock"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0000676.g001", "stats"=>{"downloads"=>13, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Overview_of_the_FARO_method_/616937", "title"=>"Overview of the FARO method.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2007-08-01 01:55:37"}
  • {"files"=>["https://ndownloader.figshare.com/files/946844"], "description"=>"<p>Pie charts showing the fractions of <i>mpk4</i> responding genes that are differentially expressed in shoot, root or both in response to osmotic, salt, cold or UV-B stress.</p>", "links"=>[], "tags"=>["charts", "fractions", "responding", "genes", "differentially", "uv-b"], "article_id"=>617194, "categories"=>["Infectious Diseases", "Medicine", "Genetics"], "users"=>["Henrik Bjørn Nielsen", "John Mundy", "Hanni Willenbrock"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0000676.g004", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Pie_charts_showing_the_fractions_of_mpk4_responding_genes_that_are_differentially_expressed_in_shoot_root_or_both_in_response_to_osmotic_salt_cold_or_UV_B_stress_/617194", "title"=>"Pie charts showing the fractions of <i>mpk4</i> responding genes that are differentially expressed in shoot, root or both in response to osmotic, salt, cold or UV-B stress.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2007-08-01 01:59:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/946988"], "description"=>"<p>(a) True positive (TPR) and false positive rate (FPR) as a function of the relative FARO score for response overlap (−log10 to the P-value; Fishers exact test). (b) ROC <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0000676#pone.0000676-Swets1\" target=\"_blank\">[44]</a> curves of FARO performance.</p>", "links"=>[], "tags"=>["computational biology/systems biology", "genetics and genomics/functional genomics", "plant biology/plant genetics and gene expression"], "article_id"=>617340, "categories"=>["Infectious Diseases", "Medicine", "Genetics"], "users"=>["Henrik Bjørn Nielsen", "John Mundy", "Hanni Willenbrock"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0000676.g006", "stats"=>{"downloads"=>4, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_FARO_benchmarking_/617340", "title"=>"FARO benchmarking.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2007-08-01 02:02:20"}

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  • {"unique-ip"=>"2", "full-text"=>"1", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2012", "month"=>"11"}
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  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"9"}
  • {"unique-ip"=>"2", "full-text"=>"3", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"10"}
  • {"unique-ip"=>"1", "full-text"=>"1", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"12"}
  • {"unique-ip"=>"1", "full-text"=>"1", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"1"}
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  • {"unique-ip"=>"3", "full-text"=>"1", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"5"}
  • {"unique-ip"=>"1", "full-text"=>"0", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"6"}
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  • {"unique-ip"=>"5", "full-text"=>"6", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"9"}
  • {"unique-ip"=>"5", "full-text"=>"6", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2015", "month"=>"10"}
  • {"unique-ip"=>"3", "full-text"=>"1", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"7"}
  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"8"}
  • {"unique-ip"=>"3", "full-text"=>"1", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"9"}
  • {"unique-ip"=>"12", "full-text"=>"5", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"4", "cited-by"=>"0", "year"=>"2014", "month"=>"10"}
  • {"unique-ip"=>"4", "full-text"=>"3", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
  • {"unique-ip"=>"13", "full-text"=>"4", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"4", "cited-by"=>"0", "year"=>"2014", "month"=>"11"}
  • {"unique-ip"=>"1", "full-text"=>"0", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"12"}
  • {"unique-ip"=>"6", "full-text"=>"7", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2015", "month"=>"1"}
  • {"unique-ip"=>"4", "full-text"=>"2", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"2", "year"=>"2015", "month"=>"11"}
  • {"unique-ip"=>"5", "full-text"=>"3", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"12"}
  • {"unique-ip"=>"5", "full-text"=>"3", "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"=>"3", "full-text"=>"1", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"3"}
  • {"unique-ip"=>"1", "full-text"=>"1", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
  • {"unique-ip"=>"4", "full-text"=>"5", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"5"}
  • {"unique-ip"=>"5", "full-text"=>"4", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
  • {"unique-ip"=>"4", "full-text"=>"3", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"8"}
  • {"unique-ip"=>"7", "full-text"=>"6", "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"=>"2", "full-text"=>"2", "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"=>"6", "full-text"=>"2", "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"=>"5", "full-text"=>"5", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
  • {"unique-ip"=>"3", "full-text"=>"3", "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"=>"7", "full-text"=>"3", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
  • {"unique-ip"=>"4", "full-text"=>"5", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"4"}
  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"5"}
  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"8"}
  • {"unique-ip"=>"1", "full-text"=>"0", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
  • {"unique-ip"=>"2", "full-text"=>"5", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
  • {"unique-ip"=>"1", "full-text"=>"1", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
  • {"unique-ip"=>"1", "full-text"=>"1", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
  • {"unique-ip"=>"4", "full-text"=>"3", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
  • {"unique-ip"=>"5", "full-text"=>"4", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
  • {"unique-ip"=>"11", "full-text"=>"11", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "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"=>"2018", "month"=>"6"}
  • {"unique-ip"=>"5", "full-text"=>"3", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"6", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"6", "full-text"=>"5", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"7", "full-text"=>"4", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"5", "full-text"=>"4", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"2", "full-text"=>"18", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
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Relative Metric

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