Antimicrobial Resistance in Escherichia coli Recovered from Feedlot Cattle and Associations with Antimicrobial Use
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{"title"=>"Antimicrobial resistance in Escherichia coli recovered from feedlot cattle and associations with antimicrobial use", "type"=>"journal", "authors"=>[{"first_name"=>"Katharine M.", "last_name"=>"Benedict", "scopus_author_id"=>"24775091600"}, {"first_name"=>"Sheryl P.", "last_name"=>"Gow", "scopus_author_id"=>"8644470300"}, {"first_name"=>"Tim A.", "last_name"=>"McAllister", "scopus_author_id"=>"7102068695"}, {"first_name"=>"Calvin W.", "last_name"=>"Booker", "scopus_author_id"=>"7003515977"}, {"first_name"=>"Sherry J.", "last_name"=>"Hannon", "scopus_author_id"=>"26032115100"}, {"first_name"=>"Sylvia L.", "last_name"=>"Checkley", "scopus_author_id"=>"9742396200"}, {"first_name"=>"Noelle R.", "last_name"=>"Noyes", "scopus_author_id"=>"56054163300"}, {"first_name"=>"Paul S.", "last_name"=>"Morley", "scopus_author_id"=>"35269363700"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84955590491", "doi"=>"10.1371/journal.pone.0143995", "pui"=>"607884224", "pmid"=>"26633649", "scopus"=>"2-s2.0-84955590491", "issn"=>"19326203", "isbn"=>"1251739303866"}, "id"=>"53a18109-6405-33a7-9284-9e0322de64a2", "abstract"=>"The objectives of this study were to estimate the prevalence of antimicrobial resistance (AMR) and to investigate the associations between exposures to antimicrobial drugs (AMDs) and AMR in fecal non-type specific Escherichia coli (NTSEC) recovered from a large population of feedlot cattle. Two-stage random sampling was used to select individually identified cattle for enrollment, which were sampled at arrival and then a second time later in the feeding period. Advanced regression techniques were used to estimate resistance prevalences, and to investigate associations between AMD exposures in enrolled cattle and penmates and AMR identified in NTSEC recovered from the second sample set. Resistance was most commonly detected to tetracycline, streptomycin, and sulfisoxazole, and was rarely identified for critically important AMDs. All cattle were exposed to AMDs in feed, and 45% were treated parenterally. While resistance prevalence generally increased during the feeding period, most AMD exposures were not significantly associated with AMR outcomes. Exposures of enrolled cattle to tetracycline were associated with increased resistance to tetracycline and trimethoprim sulfa, while beta-lactam exposures were associated with decreased likelihood of detecting streptomycin resistance. Pen-level AMD exposure measures were not associated with resistance outcomes. These findings suggest that tetracycline treatment of feedlot cattle can be associated with modest increases in risk for recovery of resistant NTSEC, but the numerous treatments with an advanced macrolide (tulathromycin) were not associated with detectable increases in resistance in NTSEC. All cattle were exposed to in-feed treatments of tetracycline and this could limit the ability to identify the full impact of these exposures, but these exposures varied for enrolled cattle varied, providing an opportunity to evaluate a dose response. While AMD exposures were not associated with detectably increased risks for resistance to critically important AMDs, rare resistance outcomes and infrequent exposure to other important AMDs (e.g., cephalosporins) limited our ability to rigorously investigate questions regarding factors that can influence resistance to these important AMDs.", "link"=>"http://www.mendeley.com/research/antimicrobial-resistance-escherichia-coli-recovered-feedlot-cattle-associations-antimicrobial-3", "reader_count"=>29, "reader_count_by_academic_status"=>{"Librarian"=>1, "Student > Doctoral Student"=>3, "Researcher"=>5, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>2, "Other"=>4, "Student > Master"=>5, "Student > Bachelor"=>1, "Lecturer"=>2, "Professor"=>1}, "reader_count_by_user_role"=>{"Librarian"=>1, "Student > Doctoral Student"=>3, "Researcher"=>5, "Student > Ph. D. Student"=>5, "Student > Postgraduate"=>2, "Other"=>4, "Student > Master"=>5, "Student > Bachelor"=>1, "Lecturer"=>2, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Biochemistry, Genetics and Molecular Biology"=>2, "Medicine and Dentistry"=>6, "Agricultural and Biological Sciences"=>6, "Arts and Humanities"=>1, "Veterinary Science and Veterinary Medicine"=>12}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>6}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>6}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Unspecified"=>{"Unspecified"=>2}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>12}}, "reader_count_by_country"=>{"Canada"=>1, "France"=>1}, "group_count"=>3}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/4223578"], "description"=>"<p>Number of antimicrobial drugs to which non-type specific <i>E</i>. <i>coli</i> isolates were resistant.</p>", "links"=>[], "tags"=>["AMD exposures", "NTSEC", "resistance outcomes", "feedlot cattle", "AMR", "Escherichia coli Recovered", "estimate resistance prevalences", "Advanced regression techniques", "tetracycline"], "article_id"=>2579362, "categories"=>["Medicine", "Microbiology", "Pharmacology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Chemical Sciences not elsewhere classified", "Ecology", "Sociology", "Biological Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Cancer", "Hematology", "Infectious Diseases", "Virology"], "users"=>["Katharine M. Benedict", "Sheryl P. Gow", "Tim A. McAllister", "Calvin W. Booker", "Sherry J. Hannon", "Sylvia L. Checkley", "Noelle R. Noyes", "Paul S. Morley"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0143995.t001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Number_of_antimicrobial_drugs_to_which_non_type_specific_i_E_i_i_coli_i_isolates_were_resistant_/2579362", "title"=>"Number of antimicrobial drugs to which non-type specific <i>E</i>. <i>coli</i> isolates were resistant.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-12-03 13:14:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/4223566"], "description"=>"<p>Marginal (adjusted) means estimates of the prevalence of resistance to various antimicrobial drugs among non-type specific <i>E</i>. <i>coli</i> isolates obtained from individual fecal samples at the first and second samplings. These estimates have been adjusted for isolate, individual, and pen effects. Due to a large variation in second sampling relative to days on feed, estimates have been categorized and presented at 33–75 days on feed, 75–120 days on feed, and >120 days on feed. Error bars represent 95% confidence intervals. Dashed lines differentiate which antimicrobial drugs were tested by one or both susceptibility testing methods. Number of isolates in legend indicate how many were tested by each susceptibility test (n = number tested by disk diffusion / number tested by both tests / number tested by broth microdilution). <i>P</i>-values relate to differences in adjusted prevalence among the 4 days-on-feed categories, and were not adjusted for multiple comparisons among AMDs. * = unadjusted prevalence with “plus four 95% confidence interval for a proportion\".</p>", "links"=>[], "tags"=>["AMD exposures", "NTSEC", "resistance outcomes", "feedlot cattle", "AMR", "Escherichia coli Recovered", "estimate resistance prevalences", "Advanced regression techniques", "tetracycline"], "article_id"=>1617893, "categories"=>["Medicine", "Microbiology", "Pharmacology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Chemical Sciences not elsewhere classified", "Ecology", "Sociology", "Biological Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Cancer", "Hematology", "Infectious Diseases", "Virology"], "users"=>["Katharine M. Benedict", "Sheryl P. Gow", "Tim A. McAllister", "Calvin W. Booker", "Sherry J. Hannon", "Sylvia L. Checkley", "Noelle R. Noyes", "Paul S. Morley"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0143995.g002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Prevalence_of_resistance_in_non_type_specific_E_coli_recovered_from_feedlot_cattle_by_sampling_date_/1617893", "title"=>"Prevalence of resistance in non-type-specific <i>E</i>. <i>coli</i> recovered from feedlot cattle, by sampling date.", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-12-03 13:14:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/4223587"], "description"=>"<p>Resistance patterns for non-type specific <i>E</i>. <i>coli</i> isolates recovered from the arrival and second sample sets.</p>", "links"=>[], "tags"=>["AMD exposures", "NTSEC", "resistance outcomes", "feedlot cattle", "AMR", "Escherichia coli Recovered", "estimate resistance prevalences", "Advanced regression techniques", "tetracycline"], "article_id"=>1617896, "categories"=>["Medicine", "Microbiology", "Pharmacology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Chemical Sciences not elsewhere classified", "Ecology", "Sociology", "Biological Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Cancer", "Hematology", "Infectious Diseases", "Virology"], "users"=>["Katharine M. Benedict", "Sheryl P. Gow", "Tim A. McAllister", "Calvin W. Booker", "Sherry J. Hannon", "Sylvia L. Checkley", "Noelle R. Noyes", "Paul S. Morley"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0143995.t002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Resistance_patterns_for_non_type_specific_E_coli_isolates_recovered_from_the_arrival_and_second_sample_sets_/1617896", "title"=>"Resistance patterns for non-type specific <i>E</i>. <i>coli</i> isolates recovered from the arrival and second sample sets.", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-12-03 13:14:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/4223596"], "description"=>"<p>Exposures to antimicrobial drugs in individual cattle from which NTSEC were recovered for this study (n = 923).</p>", "links"=>[], "tags"=>["AMD exposures", "NTSEC", "resistance outcomes", "feedlot cattle", "AMR", "Escherichia coli Recovered", "estimate resistance prevalences", "Advanced regression techniques", "tetracycline"], "article_id"=>1617897, "categories"=>["Medicine", "Microbiology", "Pharmacology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Chemical Sciences not elsewhere classified", "Ecology", "Sociology", "Biological Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Cancer", "Hematology", "Infectious Diseases", "Virology"], "users"=>["Katharine M. Benedict", "Sheryl P. Gow", "Tim A. McAllister", "Calvin W. Booker", "Sherry J. Hannon", "Sylvia L. Checkley", "Noelle R. Noyes", "Paul S. Morley"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0143995.t003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Exposures_to_antimicrobial_drugs_in_individual_cattle_from_which_NTSEC_were_recovered_for_this_study_n_923_/1617897", "title"=>"Exposures to antimicrobial drugs in individual cattle from which NTSEC were recovered for this study (n = 923).", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-12-03 13:14:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/4223602"], "description"=>"<p>Pen-level exposures to antimicrobial drugs for groups which housed cattle that were used (n = 215 pens).</p>", "links"=>[], "tags"=>["AMD exposures", "NTSEC", "resistance outcomes", "feedlot cattle", "AMR", "Escherichia coli Recovered", "estimate resistance prevalences", "Advanced regression techniques", "tetracycline"], "article_id"=>1617898, "categories"=>["Medicine", "Microbiology", "Pharmacology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Chemical Sciences not elsewhere classified", "Ecology", "Sociology", "Biological Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Cancer", "Hematology", "Infectious Diseases", "Virology"], "users"=>["Katharine M. Benedict", "Sheryl P. Gow", "Tim A. McAllister", "Calvin W. Booker", "Sherry J. Hannon", "Sylvia L. Checkley", "Noelle R. Noyes", "Paul S. Morley"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0143995.t004"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Pen_level_exposures_to_antimicrobial_drugs_for_groups_which_housed_cattle_that_were_used_n_215_pens_/1617898", "title"=>"Pen-level exposures to antimicrobial drugs for groups which housed cattle that were used (n = 215 pens).", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-12-03 13:14:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/4223608"], "description"=>"<p>Final multivariable logistic models of associations between antimicrobial drugs and antimicrobial resistance.</p>", "links"=>[], "tags"=>["AMD exposures", "NTSEC", "resistance outcomes", "feedlot cattle", "AMR", "Escherichia coli Recovered", "estimate resistance prevalences", "Advanced regression techniques", "tetracycline"], "article_id"=>1617899, "categories"=>["Medicine", "Microbiology", "Pharmacology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Chemical Sciences not elsewhere classified", "Ecology", "Sociology", "Biological Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Cancer", "Hematology", "Infectious Diseases", "Virology"], "users"=>["Katharine M. Benedict", "Sheryl P. Gow", "Tim A. McAllister", "Calvin W. Booker", "Sherry J. Hannon", "Sylvia L. Checkley", "Noelle R. Noyes", "Paul S. Morley"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0143995.t005"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Final_multivariable_logistic_models_of_associations_between_antimicrobial_drugs_and_antimicrobial_resistance_/1617899", "title"=>"Final multivariable logistic models of associations between antimicrobial drugs and antimicrobial resistance.", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-12-03 13:14:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/4223620"], "description"=>"<p>Dependence at different levels of clustering for NTSEC isolates in the second sample set as estimated using alternating logistic regression<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0143995#t006fn001\" target=\"_blank\"><sup>a</sup></a>.</p>", "links"=>[], "tags"=>["AMD exposures", "NTSEC", "resistance outcomes", "feedlot cattle", "AMR", "Escherichia coli Recovered", "estimate resistance prevalences", "Advanced regression techniques", "tetracycline"], "article_id"=>1617900, "categories"=>["Medicine", "Microbiology", "Pharmacology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Chemical Sciences not elsewhere classified", "Ecology", "Sociology", "Biological Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Cancer", "Hematology", "Infectious Diseases", "Virology"], "users"=>["Katharine M. Benedict", "Sheryl P. Gow", "Tim A. McAllister", "Calvin W. Booker", "Sherry J. Hannon", "Sylvia L. Checkley", "Noelle R. Noyes", "Paul S. Morley"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0143995.t006"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Dependence_at_different_levels_of_clustering_for_NTSEC_isolates_in_the_second_sample_set_as_estimated_using_alternating_logistic_regression_a_/1617900", "title"=>"Dependence at different levels of clustering for NTSEC isolates in the second sample set as estimated using alternating logistic regression<sup>a</sup>.", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-12-03 13:14:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/4223635"], "description"=>"<p>Pairwise correlation between 2 antimicrobial resistance outcomes obtained from a multivariate regression model including resistances to tetracycline, streptomycin, sulfisoxazole, ampicillin, and chloramphenicol.</p>", "links"=>[], "tags"=>["AMD exposures", "NTSEC", "resistance outcomes", "feedlot cattle", "AMR", "Escherichia coli Recovered", "estimate resistance prevalences", "Advanced regression techniques", "tetracycline"], "article_id"=>1617901, "categories"=>["Medicine", "Microbiology", "Pharmacology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Chemical Sciences not elsewhere classified", "Ecology", "Sociology", "Biological Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Cancer", "Hematology", "Infectious Diseases", "Virology"], "users"=>["Katharine M. Benedict", "Sheryl P. Gow", "Tim A. McAllister", "Calvin W. Booker", "Sherry J. Hannon", "Sylvia L. Checkley", "Noelle R. Noyes", "Paul S. Morley"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0143995.t007"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Multivariate_correlation_between_resistance_outcomes_/1617901", "title"=>"Multivariate correlation between resistance outcomes.", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-12-03 13:14:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/4223542", "https://ndownloader.figshare.com/files/4223545", "https://ndownloader.figshare.com/files/4223554"], "description"=>"<div><p>The objectives of this study were to estimate the prevalence of antimicrobial resistance (AMR) and to investigate the associations between exposures to antimicrobial drugs (AMDs) and AMR in fecal non-type specific <i>Escherichia coli</i> (NTSEC) recovered from a large population of feedlot cattle. Two-stage random sampling was used to select individually identified cattle for enrollment, which were sampled at arrival and then a second time later in the feeding period. Advanced regression techniques were used to estimate resistance prevalences, and to investigate associations between AMD exposures in enrolled cattle and penmates and AMR identified in NTSEC recovered from the second sample set. Resistance was most commonly detected to tetracycline, streptomycin, and sulfisoxazole, and was rarely identified for critically important AMDs. All cattle were exposed to AMDs in feed, and 45% were treated parenterally. While resistance prevalence generally increased during the feeding period, most AMD exposures were not significantly associated with AMR outcomes. Exposures of enrolled cattle to tetracycline were associated with increased resistance to tetracycline and trimethoprim sulfa, while beta-lactam exposures were associated with decreased likelihood of detecting streptomycin resistance. Pen-level AMD exposure measures were not associated with resistance outcomes. These findings suggest that tetracycline treatment of feedlot cattle can be associated with modest increases in risk for recovery of resistant NTSEC, but the numerous treatments with an advanced macrolide (tulathromycin) were not associated with detectable increases in resistance in NTSEC. All cattle were exposed to in-feed treatments of tetracycline and this could limit the ability to identify the full impact of these exposures, but these exposures varied for enrolled cattle varied, providing an opportunity to evaluate a dose response. While AMD exposures were not associated with detectably increased risks for resistance to critically important AMDs, rare resistance outcomes and infrequent exposure to other important AMDs (e.g., cephalosporins) limited our ability to rigorously investigate questions regarding factors that can influence resistance to these important AMDs.</p></div>", "links"=>[], "tags"=>["AMD exposures", "NTSEC", "resistance outcomes", "feedlot cattle", "AMR", "Escherichia coli Recovered", "estimate resistance prevalences", "Advanced regression techniques", "tetracycline"], "article_id"=>1617902, "categories"=>["Medicine", "Microbiology", "Pharmacology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Chemical Sciences not elsewhere classified", "Ecology", "Sociology", "Biological Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Cancer", "Hematology", "Infectious Diseases", "Virology"], "users"=>["Katharine M. Benedict", "Sheryl P. Gow", "Tim A. McAllister", "Calvin W. Booker", "Sherry J. Hannon", "Sylvia L. Checkley", "Noelle R. Noyes", "Paul S. Morley"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0143995.s001", "https://dx.doi.org/10.1371/journal.pone.0143995.s002", "https://dx.doi.org/10.1371/journal.pone.0143995.s003"], "stats"=>{"downloads"=>2, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Antimicrobial_Resistance_in_Escherichia_coli_Recovered_from_Feedlot_Cattle_and_Associations_with_Antimicrobial_Use/1617902", "title"=>"Antimicrobial Resistance in <i>Escherichia coli</i> Recovered from Feedlot Cattle and Associations with Antimicrobial Use", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-12-03 13:14:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/4223557"], "description"=>"<p>Selection of study pens, individuals and <i>E</i>. <i>coli</i> isolates at arrival and second sampling.</p>", "links"=>[], "tags"=>["AMD exposures", "NTSEC", "resistance outcomes", "feedlot cattle", "AMR", "Escherichia coli Recovered", "estimate resistance prevalences", "Advanced regression techniques", "tetracycline"], "article_id"=>1617887, "categories"=>["Medicine", "Microbiology", "Pharmacology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Chemical Sciences not elsewhere classified", "Ecology", "Sociology", "Biological Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Cancer", "Hematology", "Infectious Diseases", "Virology"], "users"=>["Katharine M. Benedict", "Sheryl P. Gow", "Tim A. McAllister", "Calvin W. Booker", "Sherry J. Hannon", "Sylvia L. Checkley", "Noelle R. Noyes", "Paul S. Morley"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0143995.g001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Selection_of_study_pens_individuals_and_E_coli_isolates_at_arrival_and_second_sampling_/1617887", "title"=>"Selection of study pens, individuals and <i>E</i>. <i>coli</i> isolates at arrival and second sampling.", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-12-03 13:14:08"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"9", "full-text"=>"7", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2020", "month"=>"8"}
  • {"unique-ip"=>"13", "full-text"=>"7", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2020", "month"=>"9"}
  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2020", "month"=>"10"}
  • {"unique-ip"=>"8", "full-text"=>"4", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"11"}
  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"12"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2021", "month"=>"1"}

Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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