Faecal Microbiota of Cats with Insulin-Treated Diabetes Mellitus
Publication Date
October 03, 2014
Journal
PLOS ONE
Authors
Erin T. Bell, Jan S. Suchodolski, Anitha Isaiah, Linda M. Fleeman, et al
Volume
9
Issue
10
Pages
e108729
DOI
https://dx.plos.org/10.1371/journal.pone.0108729
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0108729
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/25279695
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4184829
Europe PMC
http://europepmc.org/abstract/MED/25279695
Web of Science
000342670800027
Scopus
84922382356
Mendeley
http://www.mendeley.com/research/faecal-microbiota-cats-insulintreated-diabetes-mellitus
Events
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Mendeley | Further Information

{"title"=>"Faecal microbiota of cats with insulin-treated diabetes mellitus", "type"=>"journal", "authors"=>[{"first_name"=>"Erin T.", "last_name"=>"Bell", "scopus_author_id"=>"34967823000"}, {"first_name"=>"Jan S.", "last_name"=>"Suchodolski", "scopus_author_id"=>"57018260900"}, {"first_name"=>"Anitha", "last_name"=>"Isaiah", "scopus_author_id"=>"56403143800"}, {"first_name"=>"Linda M.", "last_name"=>"Fleeman", "scopus_author_id"=>"6603320340"}, {"first_name"=>"Audrey K.", "last_name"=>"Cook", "scopus_author_id"=>"7401880919"}, {"first_name"=>"Jörg M.", "last_name"=>"Steiner", "scopus_author_id"=>"7201651899"}, {"first_name"=>"Caroline S.", "last_name"=>"Mansfield", "scopus_author_id"=>"7102568631"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"608635338", "sgr"=>"84922382356", "pmid"=>"25279695", "scopus"=>"2-s2.0-84922382356", "isbn"=>"10.1371/journal.pone.0108729", "doi"=>"10.1371/journal.pone.0108729", "issn"=>"19326203"}, "id"=>"7f132171-d540-39fb-a865-0bca973f8052", "abstract"=>"Microorganisms within the gastrointestinal tract significantly influence metabolic processes within their mammalian host, and recently several groups have sought to characterise the gastrointestinal microbiota of individuals affected by metabolic disease. Differences in the composition of the gastrointestinal microbiota have been reported in mouse models of type 2 diabetes mellitus, as well as in human patients. Diabetes mellitus in cats has many similarities to type 2 diabetes in humans. No studies of the gastrointestinal microbiota of diabetic cats have been previously published. The objectives of this study were to compare the composition of the faecal microbiota of diabetic and non-diabetic cats, and secondarily to determine if host signalment and dietary factors influence the composition of the faecal microbiota in cats. Faecal samples were collected from insulin-treated diabetic and non-diabetic cats, and Illumina sequencing of the 16S rRNA gene and quantitative PCR were performed on each sample. ANOSIM based on the unweighted UniFrac distance metric identified no difference in the composition of the faecal microbiota between diabetic and non-diabetic cats, and no significant differences in the proportions of dominant bacteria by phylum, class, order, family or genus as determined by 16S rRNA gene sequencing were identified between diabetic and non-diabetic cats. qPCR identified a decrease in Faecalibacterium spp. in cats aged over ten years. Cat breed or gender, dietary carbohydrate, protein or fat content, and dietary formulation (wet versus dry food) did not affect the composition of the faecal microbiota. In conclusion, the composition of the faecal microbiota was not altered by the presence of diabetes mellitus in cats. Additional studies that compare the functional products of the microbiota in diabetic and non-diabetic cats are warranted to further investigate the potential impact of the gastrointestinal microbiota on metabolic diseases such as diabetes mellitus in cats.", "link"=>"http://www.mendeley.com/research/faecal-microbiota-cats-insulintreated-diabetes-mellitus", "reader_count"=>35, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>2, "Librarian"=>1, "Researcher"=>6, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>4, "Student > Master"=>5, "Other"=>1, "Student > Bachelor"=>4, "Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>2, "Librarian"=>1, "Researcher"=>6, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>4, "Student > Master"=>5, "Other"=>1, "Student > Bachelor"=>4, "Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Engineering"=>1, "Unspecified"=>5, "Nursing and Health Professions"=>1, "Medicine and Dentistry"=>9, "Agricultural and Biological Sciences"=>9, "Arts and Humanities"=>1, "Veterinary Science and Veterinary Medicine"=>9}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>9}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>9}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Unspecified"=>{"Unspecified"=>5}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>9}}, "reader_count_by_country"=>{"Iran"=>1, "Spain"=>1}, "group_count"=>0}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1704074"], "description"=>"<p>Values are expressed as means ± standard deviation of the log amount of DNA (fg) per 10 ng of isolated total DNA. Differences in mean values between cats aged ten years or younger (“adult”) and cats greater than ten years (“geriatric”) were determined by 2-sided t-tests. P values <0.05 were considered significant.</p><p>Quantitative PCR evaluation of the faecal microbiota in adult versus geriatric cats.</p>", "links"=>[], "tags"=>["Diabetes mellitus", "16 S rRNA gene sequencing", "anosim", "pcr", "type 2 diabetes mellitus", "type 2 diabetes", "unweighted UniFrac distance", "faecal microbiota", "16 S rRNA gene"], "article_id"=>1193054, "categories"=>["Biological Sciences"], "users"=>["Erin T. Bell", "Jan S. Suchodolski", "Anitha Isaiah", "Linda M. Fleeman", "Audrey K. Cook", "Jörg M. Steiner", "Caroline S. Mansfield"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0108729.t006", "stats"=>{"downloads"=>0, "page_views"=>23, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Quantitative_PCR_evaluation_of_the_faecal_microbiota_in_adult_versus_geriatric_cats_/1193054", "title"=>"Quantitative PCR evaluation of the faecal microbiota in adult versus geriatric cats.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-10-03 02:42:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/1704070"], "description"=>"<p>Differences in median percentages between diabetic and non-diabetic cats were calculated using Mann-Whitney U tests. P values <0.05 were considered significant.</p><p>Relative proportions of predominant bacterial taxa identified by sequencing of the 16S rRNA gene.</p>", "links"=>[], "tags"=>["Diabetes mellitus", "16 S rRNA gene sequencing", "anosim", "pcr", "type 2 diabetes mellitus", "type 2 diabetes", "unweighted UniFrac distance", "faecal microbiota", "16 S rRNA gene"], "article_id"=>1193050, "categories"=>["Biological Sciences"], "users"=>["Erin T. Bell", "Jan S. Suchodolski", "Anitha Isaiah", "Linda M. Fleeman", "Audrey K. Cook", "Jörg M. Steiner", "Caroline S. Mansfield"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0108729.t003", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Relative_proportions_of_predominant_bacterial_taxa_identified_by_sequencing_of_the_16S_rRNA_gene_/1193050", "title"=>"Relative proportions of predominant bacterial taxa identified by sequencing of the 16S rRNA gene.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-10-03 02:42:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/1704073"], "description"=>"<p>Values are expressed as means ± standard deviation of the log amount of DNA (fg) per 10 ng of isolated total DNA. Differences in mean values between diabetic and non-diabetic cats were determined by 2-sided t-tests. P values <0.05 were considered significant.</p><p>Quantitative PCR evaluation of the faecal microbiota in diabetic versus non-diabetic cats.</p>", "links"=>[], "tags"=>["Diabetes mellitus", "16 S rRNA gene sequencing", "anosim", "pcr", "type 2 diabetes mellitus", "type 2 diabetes", "unweighted UniFrac distance", "faecal microbiota", "16 S rRNA gene"], "article_id"=>1193053, "categories"=>["Biological Sciences"], "users"=>["Erin T. Bell", "Jan S. Suchodolski", "Anitha Isaiah", "Linda M. Fleeman", "Audrey K. Cook", "Jörg M. Steiner", "Caroline S. Mansfield"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0108729.t005", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Quantitative_PCR_evaluation_of_the_faecal_microbiota_in_diabetic_versus_non_diabetic_cats_/1193053", "title"=>"Quantitative PCR evaluation of the faecal microbiota in diabetic versus non-diabetic cats.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-10-03 02:42:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/1704066"], "description"=>"<p>A: Age (blue: cats greater than ten years of age, red: cats aged ten years or less); B: Breed (blue: DSH, red: Burmese, yellow: Siamese); C: Sex (blue: male, red: female); D: Protein content of diet (blue: N/A, red: high (10.5–13.1 grams of protein per 100 kcal metabolisable energy (ME)), yellow: moderate (6.0–10.4 grams of protein per 100 kcal ME)); E: Carbohydrate content of diet (blue: N/A, red: low (2.9–4.9 grams of carbohydrate per 100 kcal ME), yellow: moderate (5.0–12.5 grams of carbohydrate per 100 kcal ME)); F: Fat content of diet (blue: moderate (5.0–6.4 grams of fat per 100 kcal ME), red: low (3.6–4.9 grams of fat per 100 kcal ME), yellow: N/A).</p>", "links"=>[], "tags"=>["Diabetes mellitus", "16 S rRNA gene sequencing", "anosim", "pcr", "type 2 diabetes mellitus", "type 2 diabetes", "unweighted UniFrac distance", "faecal microbiota", "16 S rRNA gene"], "article_id"=>1193045, "categories"=>["Biological Sciences"], "users"=>["Erin T. Bell", "Jan S. Suchodolski", "Anitha Isaiah", "Linda M. Fleeman", "Audrey K. Cook", "Jörg M. Steiner", "Caroline S. Mansfield"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0108729.g004", "stats"=>{"downloads"=>0, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Principal_coordinates_analysis_PCoA_of_unweighted_UniFrac_distances_of_16S_rRNA_/1193045", "title"=>"Principal coordinates analysis (PCoA) of unweighted UniFrac distances of 16S rRNA.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-10-03 02:42:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/1704059"], "description"=>"<p>Blue: diabetic cat, red: non-diabetic cat.</p>", "links"=>[], "tags"=>["Diabetes mellitus", "16 S rRNA gene sequencing", "anosim", "pcr", "type 2 diabetes mellitus", "type 2 diabetes", "unweighted UniFrac distance", "faecal microbiota", "16 S rRNA gene"], "article_id"=>1193039, "categories"=>["Biological Sciences"], "users"=>["Erin T. Bell", "Jan S. Suchodolski", "Anitha Isaiah", "Linda M. Fleeman", "Audrey K. Cook", "Jörg M. Steiner", "Caroline S. Mansfield"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0108729.g003", "stats"=>{"downloads"=>1, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Principal_coordinates_analysis_PCoA_of_unweighted_UniFrac_distances_of_16S_rRNA_/1193039", "title"=>"Principal coordinates analysis (PCoA) of unweighted UniFrac distances of 16S rRNA.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-10-03 02:42:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/1704041"], "description"=>"<p>Median percentage of bacterial orders identified in diabetic and non-diabetic cats.</p>", "links"=>[], "tags"=>["Diabetes mellitus", "16 S rRNA gene sequencing", "anosim", "pcr", "type 2 diabetes mellitus", "type 2 diabetes", "unweighted UniFrac distance", "faecal microbiota", "16 S rRNA gene"], "article_id"=>1193021, "categories"=>["Biological Sciences"], "users"=>["Erin T. Bell", "Jan S. Suchodolski", "Anitha Isaiah", "Linda M. Fleeman", "Audrey K. Cook", "Jörg M. Steiner", "Caroline S. Mansfield"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0108729.g001", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Median_percentage_of_bacterial_orders_identified_in_diabetic_and_non_diabetic_cats_/1193021", "title"=>"Median percentage of bacterial orders identified in diabetic and non-diabetic cats.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-10-03 02:42:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/1704072"], "description"=>"<p>ANOSIM was calculated using unweighted UniFrac distances. P values <0.05 were considered significant.</p><p>Summary of ANOSIM results for the factors evaluated in this study.</p>", "links"=>[], "tags"=>["Diabetes mellitus", "16 S rRNA gene sequencing", "anosim", "pcr", "type 2 diabetes mellitus", "type 2 diabetes", "unweighted UniFrac distance", "faecal microbiota", "16 S rRNA gene"], "article_id"=>1193052, "categories"=>["Biological Sciences"], "users"=>["Erin T. Bell", "Jan S. Suchodolski", "Anitha Isaiah", "Linda M. Fleeman", "Audrey K. Cook", "Jörg M. Steiner", "Caroline S. Mansfield"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0108729.t004", "stats"=>{"downloads"=>0, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_of_ANOSIM_results_for_the_factors_evaluated_in_this_study_/1193052", "title"=>"Summary of ANOSIM results for the factors evaluated in this study.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-10-03 02:42:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/1704069"], "description"=>"<p>DSH  =  Domestic Shorthair. Dietary protein content: moderate 6.0–10.4 g/100 kcal metabolisable energy (ME); high 10.5–13.1 g/100 kcal ME. Dietary carbohydrate content: low 2.9–4.9 g/100 kcal ME; moderate 5.0–12.5 g/100 kcal ME. Dietary fat content: low 3.6–4.9 g/100 kcal ME; moderate 5.0–6.4 g/100 kcal ME. <sup>#</sup> denotes inclusion in the non-diabetic control group for comparison of the microbiota between diabetic and non-diabetic cats.</p><p>Signalment and dietary information for enrolled cats.</p>", "links"=>[], "tags"=>["Diabetes mellitus", "16 S rRNA gene sequencing", "anosim", "pcr", "type 2 diabetes mellitus", "type 2 diabetes", "unweighted UniFrac distance", "faecal microbiota", "16 S rRNA gene"], "article_id"=>1193049, "categories"=>["Biological Sciences"], "users"=>["Erin T. Bell", "Jan S. Suchodolski", "Anitha Isaiah", "Linda M. Fleeman", "Audrey K. Cook", "Jörg M. Steiner", "Caroline S. Mansfield"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0108729.t002", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Signalment_and_dietary_information_for_enrolled_cats_/1193049", "title"=>"Signalment and dietary information for enrolled cats.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-10-03 02:42:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/1704054"], "description"=>"<p>A: Diabetic status (blue: diabetic, red: non-diabetic); B: Age (blue: cats greater than ten years of age, red: cats aged ten years or less); C: Breed (blue: DSH, red: Burmese, yellow: Siamese); D: Sex (blue: male, red: female); E: Protein content of diet (blue: N/A, red: high (10.5–13.1 grams of protein per 100 kcal metabolisable energy (ME)), yellow: moderate (6.0–10.4 grams of protein per 100 kcal ME)); F: Carbohydrate content of diet (blue: N/A, red: low (2.9–4.9 grams of carbohydrate per 100 kcal ME), yellow: moderate (5.0–12.5 grams of carbohydrate per 100 kcal ME)); G: Fat content of diet (blue: moderate (5.0–6.4 grams of fat per 100 kcal ME), red: low (3.6–4.9 grams of fat per 100 kcal ME), yellow: N/A).</p>", "links"=>[], "tags"=>["Diabetes mellitus", "16 S rRNA gene sequencing", "anosim", "pcr", "type 2 diabetes mellitus", "type 2 diabetes", "unweighted UniFrac distance", "faecal microbiota", "16 S rRNA gene"], "article_id"=>1193034, "categories"=>["Biological Sciences"], "users"=>["Erin T. Bell", "Jan S. Suchodolski", "Anitha Isaiah", "Linda M. Fleeman", "Audrey K. Cook", "Jörg M. Steiner", "Caroline S. Mansfield"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0108729.g002", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Rarefaction_analysis_of_16S_rRNA_gene_sequences_obtained_from_faecal_samples_divided_into_diabetic_signalment_and_dietary_groups_/1193034", "title"=>"Rarefaction analysis of 16S rRNA gene sequences obtained from faecal samples divided into diabetic, signalment and dietary groups.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-10-03 02:42:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/1704068"], "description"=>"<p>Oligonucleotide sequences of primers and annealing temperatures used for this study.</p>", "links"=>[], "tags"=>["Diabetes mellitus", "16 S rRNA gene sequencing", "anosim", "pcr", "type 2 diabetes mellitus", "type 2 diabetes", "unweighted UniFrac distance", "faecal microbiota", "16 S rRNA gene"], "article_id"=>1193048, "categories"=>["Biological Sciences"], "users"=>["Erin T. Bell", "Jan S. Suchodolski", "Anitha Isaiah", "Linda M. Fleeman", "Audrey K. Cook", "Jörg M. Steiner", "Caroline S. Mansfield"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0108729.t001", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Oligonucleotide_sequences_of_primers_and_annealing_temperatures_used_for_this_study_/1193048", "title"=>"Oligonucleotide sequences of primers and annealing temperatures used for this study.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-10-03 02:42:23"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"13", "full-text"=>"10", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"10"}
  • {"unique-ip"=>"39", "full-text"=>"47", "pdf"=>"17", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"10"}
  • {"unique-ip"=>"15", "full-text"=>"15", "pdf"=>"10", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
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  • {"unique-ip"=>"9", "full-text"=>"7", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
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  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"9", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"4"}
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  • {"unique-ip"=>"10", "full-text"=>"13", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
  • {"unique-ip"=>"10", "full-text"=>"10", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
  • {"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"=>"2017", "month"=>"12"}
  • {"unique-ip"=>"11", "full-text"=>"13", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"1"}
  • {"unique-ip"=>"11", "full-text"=>"12", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
  • {"unique-ip"=>"9", "full-text"=>"10", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "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"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
  • {"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"=>"5"}
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  • {"unique-ip"=>"11", "full-text"=>"14", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}

Relative Metric

{"start_date"=>"2014-01-01T00:00:00Z", "end_date"=>"2014-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[291]}, {"subject_area"=>"/Biology and life sciences/Organisms", "average_usage"=>[310]}, {"subject_area"=>"/Medicine and health sciences/Metabolic disorders", "average_usage"=>[252, 402]}, {"subject_area"=>"/Medicine and health sciences/Nutrition", "average_usage"=>[285]}, {"subject_area"=>"/Physical sciences/Chemistry", "average_usage"=>[262]}]}
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