Noise Minimisation in Gene Expression Switches
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{"title"=>"Noise minimisation in gene expression switches", "type"=>"journal", "authors"=>[{"first_name"=>"Diana", "last_name"=>"Monteoliva", "scopus_author_id"=>"6507545035"}, {"first_name"=>"Christina B.", "last_name"=>"McCarthy", "scopus_author_id"=>"14031639800"}, {"first_name"=>"Luis", "last_name"=>"Diambra", "scopus_author_id"=>"55881299200"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84893435994", "sgr"=>"84893435994", "pui"=>"372292856", "pmid"=>"24376783", "doi"=>"10.1371/journal.pone.0084020"}, "id"=>"17d7fac6-fb27-36c2-84ce-75e0058fddef", "abstract"=>"Gene expression is subject to stochastic variation which leads to fluctuations in the rate of protein production. Recently, a study in yeast at a genomic scale showed that, in some cases, gene expression variability alters phenotypes while, in other cases, these remain unchanged despite fluctuations in the expression of other genes. These studies suggested that noise in gene expression is a physiologically relevant trait and, to prevent harmful stochastic variation in the expression levels of some genes, it can be subject to minimisation. However, the mechanisms for noise minimisation are still unclear. In the present work, we analysed how noise expression depends on the architecture of the cis-regulatory system, in particular on the number of regulatory binding sites. Using analytical calculations and stochastic simulations, we found that the fluctuation level in noise expression decreased with the number of regulatory sites when regulatory transcription factors interacted with only one other bound transcription factor. In contrast, we observed that there was an optimal number of binding sites when transcription factors interacted with many bound transcription factors. This finding suggested a new mechanism for preventing large fluctuations in the expression of genes which are sensitive to the concentration of regulators.", "link"=>"http://www.mendeley.com/research/noise-minimisation-gene-expression-switches", "reader_count"=>19, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>3, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>1, "Student > Master"=>3, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>3, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>1, "Student > Master"=>3, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Engineering"=>1, "Biochemistry, Genetics and Molecular Biology"=>5, "Agricultural and Biological Sciences"=>9, "Physics and Astronomy"=>3, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>9}, "Computer Science"=>{"Computer Science"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>5}}, "reader_count_by_country"=>{"Argentina"=>1, "United States"=>1}, "group_count"=>0}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1327063"], "description"=>"<p>Comparison of the transcript number mean values, and its associated standard deviation, obtained by Gillespie simulations and predicted by SNA for the plots depicted in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0084020#pone-0084020-g003\" target=\"_blank\">Figure 3</a>. The last column depict the estimator for SNA accuracy .</p>", "links"=>[], "tags"=>[], "article_id"=>885472, "categories"=>["Biological Sciences"], "users"=>["Diana Monteoliva", "Christina B. McCarthy", "Luis Diambra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084020.t002", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_SNA_performance_/885472", "title"=>"SNA performance.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-12-23 03:46:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/1327057"], "description"=>"<p>Comparison between exact (symbols, obtained by stochastic simulations) and analytical distributions (curves, obtained by the SNA) for three different CRS kinetic rates (red, blue and green correspond to quick, medium and slow CRS dynamics, respectively). Panels from left to right show non-cooperative, recruitment and stabilisation CBMs, respectively. In the last two cases . The comparison shows very good correspondence when CRS state transitions are fast in relation to production and degradation rates. This figure shows that the SNA fails to correctly predict the distribution for slow kinetics when there is TF cooperative binding, even though this is more apparent for the stabilisation CBM.</p>", "links"=>[], "tags"=>[], "article_id"=>885466, "categories"=>["Biological Sciences"], "users"=>["Diana Monteoliva", "Christina B. McCarthy", "Luis Diambra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084020.g003", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Transcript_distributions_/885466", "title"=>"Transcript distributions.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-12-23 03:46:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/1327069", "https://ndownloader.figshare.com/files/1327070", "https://ndownloader.figshare.com/files/1327072"], "description"=>"<div><p>Gene expression is subject to stochastic variation which leads to fluctuations in the rate of protein production. Recently, a study in yeast at a genomic scale showed that, in some cases, gene expression variability alters phenotypes while, in other cases, these remain unchanged despite fluctuations in the expression of other genes. These studies suggested that noise in gene expression is a physiologically relevant trait and, to prevent harmful stochastic variation in the expression levels of some genes, it can be subject to minimisation. However, the mechanisms for noise minimisation are still unclear. In the present work, we analysed how noise expression depends on the architecture of the <i>cis</i>-regulatory system, in particular on the number of regulatory binding sites. Using analytical calculations and stochastic simulations, we found that the fluctuation level in noise expression decreased with the number of regulatory sites when regulatory transcription factors interacted with only one other bound transcription factor. In contrast, we observed that there was an optimal number of binding sites when transcription factors interacted with many bound transcription factors. This finding suggested a new mechanism for preventing large fluctuations in the expression of genes which are sensitive to the concentration of regulators.</p></div>", "links"=>[], "tags"=>["minimisation"], "article_id"=>885478, "categories"=>["Biological Sciences"], "users"=>["Diana Monteoliva", "Christina B. McCarthy", "Luis Diambra"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0084020.s001", "https://dx.doi.org/10.1371/journal.pone.0084020.s002", "https://dx.doi.org/10.1371/journal.pone.0084020.s003"], "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Noise_Minimisation_in_Gene_Expression_Switches_/885478", "title"=>"Noise Minimisation in Gene Expression Switches", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-12-23 03:46:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/1327065"], "description"=>"<p>kinetics rates and , with , were obtained in each case using the corresponding Eqs. (1) or (2), with the above values of , and . The time unit is min and the concentration is an arbitrary unit. with </p>", "links"=>[], "tags"=>[], "article_id"=>885474, "categories"=>["Biological Sciences"], "users"=>["Diana Monteoliva", "Christina B. McCarthy", "Luis Diambra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084020.t001", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Parameter_values_/885474", "title"=>"Parameter values.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-12-23 03:46:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/1327060"], "description"=>"<p>When and for , noise shows a more complex behaviour which depends on the acting CBM and the intensity of cooperativity. (A) as a function of the number of sites for both CBMs (filled and open circles indicate recruitment and stabilisation CBMs, respectively) with (red circles) and (blue circles). The inset rescales the recruitment case for both -values. (B) as a function of for (red triangles) and (blue triangles). Curves correspond to cubic spline interpolations. Lower panels correspond to density plots of as function of and for recruitment CBM (C) and stabilisation CBM (D). Dotted lines indicate the values of used in panels A and B. For recruitment CBM, the density plot clearly shows the existence of a valley in around for while, for stabilisation CBM, the valley in is apparent for lower values of around . The green area in panel D denotes the region where and SNA predictions are less accurate.</p>", "links"=>[], "tags"=>["tf"], "article_id"=>885469, "categories"=>["Biological Sciences"], "users"=>["Diana Monteoliva", "Christina B. McCarthy", "Luis Diambra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084020.g005", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Case_ii_each_TF_can_interact_with_up_to_two_other_TFs_/885469", "title"=>"Case (ii), each TF can interact with up to two other TFs.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-12-23 03:46:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/1327059"], "description"=>"<p>When for , noise and steepness behaviour is monotonic with respect to the number of BSs . (A) as a function of for both CBMs (filled and open circles indicate recruitment and stabilisation CBMs, respectively) with (red circles) and (blue circles). (B) as a function of for (red triangles) and (blue triangles). Curves correspond to cubic spline interpolations.</p>", "links"=>[], "tags"=>["tfs"], "article_id"=>885468, "categories"=>["Biological Sciences"], "users"=>["Diana Monteoliva", "Christina B. McCarthy", "Luis Diambra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084020.g004", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Case_i_TFs_interact_with_only_one_other_TF_/885468", "title"=>"Case (i), TFs interact with only one other TF.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-12-23 03:46:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/1327054"], "description"=>"<p>For simplicity, we consider a diagram of the promoter region that includes only three regulatory BSs (green boxes) where TF proteins can bind (red molecules). The states on the top layer represent states with zero, one, and BSs occupied by TFs, respectively. After one or more TFs bind to the regulatory BSs, the regulatory system is able to initiate transcriptional complex formation, where all the components required for transcription (pink and green molecules) are assembled on the CRS. States in the middle layer are those capable of recruiting RNApol (blue protein) to synthesise mRNA. The synthesis rate () depends on the number of bound TFs. The regulatory system can make transitions from state to state with rate . The elements of the transition matrix are and for , where are the kinetic rates.</p>", "links"=>[], "tags"=>[], "article_id"=>885463, "categories"=>["Biological Sciences"], "users"=>["Diana Monteoliva", "Christina B. McCarthy", "Luis Diambra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084020.g001", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sketch_of_the_cis_regulatory_system_/885463", "title"=>"Sketch of the <i>cis</i>-regulatory system.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-12-23 03:46:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/1327055"], "description"=>"<p>The schematic shows a CRS with four BSs where a bound TF can interact with: (A) only one TF, case (i), (B) two TFs (ii), (C) three other TFs, case (iii).</p>", "links"=>[], "tags"=>[], "article_id"=>885464, "categories"=>["Biological Sciences"], "users"=>["Diana Monteoliva", "Christina B. McCarthy", "Luis Diambra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084020.g002", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Different_number_of_cooperative_interactions_/885464", "title"=>"Different number of cooperative interactions.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-12-23 03:46:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/1327062"], "description"=>"<p>Top panels: as a function of the number of sites for both CBMs (filled and open circles indicate recruitment and stabilisation CBMs, respectively) with (red circles) and (blue circles). Bottom panels: as a function of for (red triangles) and (blue triangles). Panels A and C show the case in which each TF can interact with up to three other TFs, i.e., case (iii). Panels B and D show the case where each TF interacts with all available TFs (case (iv)) where for all . Curves correspond to cubic spline interpolations.</p>", "links"=>[], "tags"=>[], "article_id"=>885471, "categories"=>["Biological Sciences"], "users"=>["Diana Monteoliva", "Christina B. McCarthy", "Luis Diambra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084020.g006", "stats"=>{"downloads"=>1, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cases_with_many_interactions_/885471", "title"=>"Cases with many interactions.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-12-23 03:46:41"}

PMC Usage Stats | Further Information

  • {"unique-ip"=>"13", "full-text"=>"7", "pdf"=>"6", "abstract"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"8", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"1"}
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  • {"unique-ip"=>"6", "full-text"=>"14", "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"=>"4", "full-text"=>"8", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"6"}
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  • {"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"=>"2015", "month"=>"10"}
  • {"unique-ip"=>"12", "full-text"=>"8", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"7"}
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  • {"unique-ip"=>"11", "full-text"=>"7", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2014", "month"=>"10"}
  • {"unique-ip"=>"2", "full-text"=>"1", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
  • {"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"=>"11"}
  • {"unique-ip"=>"6", "full-text"=>"5", "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"=>"11", "full-text"=>"6", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2015", "month"=>"11"}
  • {"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"=>"2015", "month"=>"12"}
  • {"unique-ip"=>"10", "full-text"=>"1", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"1"}
  • {"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"=>"2016", "month"=>"3"}
  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
  • {"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"=>"2016", "month"=>"7"}
  • {"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"=>"2016", "month"=>"11"}
  • {"unique-ip"=>"6", "full-text"=>"13", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
  • {"unique-ip"=>"2", "full-text"=>"0", "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"=>"1", "full-text"=>"0", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
  • {"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"=>"4"}
  • {"unique-ip"=>"19", "full-text"=>"7", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2017", "month"=>"5"}
  • {"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"=>"8"}
  • {"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"=>"2017", "month"=>"9"}
  • {"unique-ip"=>"4", "full-text"=>"2", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"1"}
  • {"unique-ip"=>"2", "full-text"=>"3", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
  • {"unique-ip"=>"1", "full-text"=>"0", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"1", "full-text"=>"0", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
  • {"unique-ip"=>"1", "full-text"=>"1", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
  • {"unique-ip"=>"1", "full-text"=>"0", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"3", "full-text"=>"1", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
  • {"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"=>"8"}
  • {"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"=>"12"}
  • {"unique-ip"=>"2", "full-text"=>"1", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"1", "full-text"=>"0", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"2", "full-text"=>"3", "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"=>"1", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"4", "full-text"=>"2", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
  • {"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"=>"10"}
  • {"unique-ip"=>"10", "full-text"=>"0", "pdf"=>"11", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"12"}
  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"2"}
  • {"unique-ip"=>"3", "full-text"=>"1", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"3"}
  • {"unique-ip"=>"1", "full-text"=>"1", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2020", "month"=>"4"}

Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[269, 466, 588, 697, 800, 896, 988, 1076, 1165, 1254, 1340, 1417]}, {"subject_area"=>"/Biology and life sciences/Biochemistry", "average_usage"=>[266, 468, 593, 703, 804, 903, 993, 1084, 1171, 1256, 1339, 1422, 1492]}, {"subject_area"=>"/Engineering and technology/Signal processing", "average_usage"=>[248, 406, 514, 603, 689, 787, 859, 930, 1027, 1083, 1131, 1201, 1270]}, {"subject_area"=>"/Physical sciences", "average_usage"=>[254, 431, 547, 651, 748, 842, 932, 1017, 1098, 1178, 1259, 1336, 1404]}, {"subject_area"=>"/Physical sciences/Mathematics", "average_usage"=>[259, 431, 541, 639, 727, 816, 898, 980, 1061, 1136, 1214, 1294, 1356]}]}
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