Exposure-Based, ‘Like-for-Like’ Assessment of Road Safety by Travel Mode Using Routine Health Data
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{"title"=>"Exposure-Based, 'Like-for-Like' Assessment of Road Safety by Travel Mode Using Routine Health Data", "type"=>"journal", "authors"=>[{"first_name"=>"Jennifer S.", "last_name"=>"Mindell", "scopus_author_id"=>"7005836049"}, {"first_name"=>"Deborah", "last_name"=>"Leslie", "scopus_author_id"=>"52564034900"}, {"first_name"=>"Malcolm", "last_name"=>"Wardlaw", "scopus_author_id"=>"6701383662"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "pui"=>"366234473", "pmid"=>"23227191", "isbn"=>"1932-6203", "doi"=>"10.1371/journal.pone.0050606", "sgr"=>"84870773549", "scopus"=>"2-s2.0-84870773549"}, "id"=>"4200fad4-9cf3-3aa5-8baf-08f2b6c20d5e", "abstract"=>"BACKGROUND: Official reports on modal risk have not chosen appropriate numerators and denominators to enable like-for-like comparisons. We report age- and sex-specific deaths and injury rates from equivalent incidents in England by travel mode, distance travelled and time spent travelling.\\n\\nMETHODS: Hospital admissions and deaths in England 2007-2009 were obtained for relevant ICD-10 external codes for pedestrians, cyclists, and car/van drivers, by age-group and sex. Distance travelled by age-group, sex and mode in England (National Travel Survey 2007-2009 data) was converted to time spent travelling using mean trip speeds. Fatality rates were compared with age-specific Netherlands data.\\n\\nRESULTS: All-age fatalities per million hours' use (f/mhu) varied over the same factor-of-three range for both sexes (0.15-0.45 f/mhu by mode for men, 0.09-0.31 f/mhu for women). Risks were similar for men aged 21-49 y for all three modes and for female pedestrians and drivers aged 21-69 y. Most at risk were: males 17-20 y (1.3 f/mhu (95% CI 1.2-1.4)) for driving; males 70+ (2.2 f/mhu(1.6-3.0)) for cycling; and females 70+ (0.95 f/mhu (0.86-1.1)) for pedestrians. In general, fatality rates were substantially higher among males than females. Risks per hour for male drivers <30 y were similar or higher than for male cyclists; for males aged 17-20 y, the risk was higher for drivers (33/Bn km (30-36), 1.3 f/mhu (1.2-1.4)) than cyclists (20/Bn km (10-37), 0.24 f/mhu (0.12-0.45)) whether using distance or time. Similar age patterns occurred for cyclists and drivers in the Netherlands. Age-sex patterns for injuries resulting in hospital admission were similar for cyclists and pedestrians but lower for drivers.\\n\\nCONCLUSIONS: When all relevant ICD-10 codes are used, fatalities by time spent travelling vary within similar ranges for walking, cycling and driving. Risks for drivers were highest in youth and fell with age, while for pedestrians and cyclists, risks increased with age. For the young, especially males, cycling is safer than driving.", "link"=>"http://www.mendeley.com/research/exposurebased-likeforlike-assessment-road-safety-travel-mode-using-routine-health-data", "reader_count"=>46, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>1, "Librarian"=>1, "Researcher"=>17, "Student > Ph. D. Student"=>11, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>3, "Student > Bachelor"=>3, "Lecturer > Senior Lecturer"=>3, "Professor"=>4}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>1, "Librarian"=>1, "Researcher"=>17, "Student > Ph. D. Student"=>11, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>3, "Student > Bachelor"=>3, "Lecturer > Senior Lecturer"=>3, "Professor"=>4}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Agricultural and Biological Sciences"=>3, "Arts and Humanities"=>1, "Philosophy"=>1, "Computer Science"=>1, "Engineering"=>6, "Environmental Science"=>2, "Biochemistry, Genetics and Molecular Biology"=>1, "Medicine and Dentistry"=>9, "Sports and Recreations"=>2, "Physics and Astronomy"=>1, "Psychology"=>2, "Social Sciences"=>11, "Decision Sciences"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>9}, "Social Sciences"=>{"Social Sciences"=>11}, "Decision Sciences"=>{"Decision Sciences"=>2}, "Sports and Recreations"=>{"Sports and Recreations"=>2}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>2}, "Unspecified"=>{"Unspecified"=>4}, "Environmental Science"=>{"Environmental Science"=>2}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Engineering"=>{"Engineering"=>6}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Computer Science"=>{"Computer Science"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Philosophy"=>{"Philosophy"=>1}}, "reader_count_by_country"=>{"Netherlands"=>1, "Brazil"=>1, "United Kingdom"=>5, "Germany"=>1, "Spain"=>1}, "group_count"=>2}

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  • {"files"=>["https://ndownloader.figshare.com/files/286360"], "description"=>"<div><h3>Background</h3><p>Official reports on modal risk have not chosen appropriate numerators and denominators to enable like-for-like comparisons. We report age- and sex-specific deaths and injury rates from equivalent incidents in England by travel mode, distance travelled and time spent travelling.</p> <h3>Methods</h3><p>Hospital admissions and deaths in England 2007–2009 were obtained for relevant ICD-10 external codes for pedestrians, cyclists, and car/van drivers, by age-group and sex. Distance travelled by age-group, sex and mode in England (National Travel Survey 2007–2009 data) was converted to time spent travelling using mean trip speeds. Fatality rates were compared with age-specific Netherlands data.</p> <h3>Results</h3><p>All-age fatalities per million hours’ use (f/mhu) varied over the same factor-of-three range for both sexes (0.15–0.45 f/mhu by mode for men, 0.09–0.31 f/mhu for women). Risks were similar for men aged 21–49 y for all three modes and for female pedestrians and drivers aged 21–69 y. Most at risk were: males 17–20 y (1.3 f/mhu (95% CI 1.2–1.4)) for driving; males 70+ (2.2 f/mhu(1.6–3.0)) for cycling; and females 70+ (0.95 f/mhu (0.86–1.1)) for pedestrians. In general, fatality rates were substantially higher among males than females. Risks per hour for male drivers <30 y were similar or higher than for male cyclists; for males aged 17–20 y, the risk was higher for drivers (33/Bn km (30–36), 1.3 f/mhu (1.2–1.4)) than cyclists (20/Bn km (10–37), 0.24 f/mhu (0.12–0.45)) whether using distance or time. Similar age patterns occurred for cyclists and drivers in the Netherlands. Age-sex patterns for injuries resulting in hospital admission were similar for cyclists and pedestrians but lower for drivers.</p> <h3>Conclusions</h3><p>When all relevant ICD-10 codes are used, fatalities by time spent travelling vary within similar ranges for walking, cycling and driving. Risks for drivers were highest in youth and fell with age, while for pedestrians and cyclists, risks increased with age. For the young, especially males, cycling is safer than driving.</p> </div>", "links"=>[], "tags"=>["data"], "article_id"=>116454, "categories"=>["Medicine", "Biotechnology"], "users"=>["Jennifer S. Mindell", "Deborah Leslie", "Malcolm Wardlaw"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0050606", "stats"=>{"downloads"=>5, "page_views"=>27, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Exposure_Based_Like_for_Like_Assessment_of_Road_Safety_by_Travel_Mode_Using_Routine_Health_Data__/116454", "title"=>"Exposure-Based, ‘Like-for-Like’ Assessment of Road Safety by Travel Mode Using Routine Health Data", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-12-05 01:47:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/530464"], "description"=>"<p>a. The Netherlands, 2008. b. England, 2007–2009. There are a number of limitations to these comparisons. First, data for the two countries use slightly different age-groups. Due to inaccuracies in driving data for those below the legal limit for driving, data for the youngest groups are not shown, although they are included in the ‘all ages’ categories. Secondly, fatality rates for the Netherlands are for all car occupants whereas for England they are restricted to drivers (plus small numbers of fatalities for unspecified car occupants), with passengers excluded from both the numerator and denominator. Thus the age-specific rates for the Netherlands underestimate the variability in rate by age of driver. Thirdly, the data shown are the actual ‘all persons’ data from the two countries. Therefore, the English data for cyclists are weighted to the figures for males. English males cycled four times the distance but had six times as many fatalities as women, and spent twice as much time driving as women but had three times as many deaths. For the Netherlands, driving is similarly dominated by males, but cycling distance is equally split between males and females.</p>", "links"=>[], "tags"=>["rates", "netherlands"], "article_id"=>200968, "categories"=>["Medicine", "Biotechnology"], "users"=>["Jennifer S. Mindell", "Deborah Leslie", "Malcolm Wardlaw"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0050606.g003", "stats"=>{"downloads"=>6, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Fatality_rates_per_million_hours_8217_use_in_the_Netherlands_and_England_by_age_/200968", "title"=>"Fatality rates per million hours’ use in the Netherlands and England, by age.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-12-05 00:16:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/530567"], "description"=>"a<p>This group may also contain passengers but probably notmany as “unspecified occupant” was rare for collisions.These have been included in the fatality rate estimate.</p>b<p>Estimates are likely to be a little too high due to the assumption that unspecified occupants are all drivers: an unknown proportion would have been passengers.</p>c<p>Note that these averages include both local roads and motorways/multi-lane divided roadways, where fatality rates are an order of magnitude lower than general purpose roads, but data are not available by age and sex.</p>d<p>This figure is greatly exaggerated by under-measurement of under-aged driving.</p>e<p>These figures are too high as V19.8 is a dustbin code, including some off-highway falls.</p>f<p>Not included in the fatality rate.</p>g<p>Estimates are too low, as some ‘unspecified location’ deaths will have been on-highway.</p>", "links"=>[], "tags"=>["numbers", "rates", "england"], "article_id"=>201068, "categories"=>["Medicine", "Biotechnology"], "users"=>["Jennifer S. Mindell", "Deborah Leslie", "Malcolm Wardlaw"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0050606.t003", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Hospital_admission_numbers_and_rates_per_distance_travelled_by_travel_mode_age_and_type_of_incident_Males_England_2007_8211_2009_/201068", "title"=>"Hospital admission numbers and rates per distance travelled, by travel mode, age, and type of incident, Males, England 2007–2009.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-12-05 00:17:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/530600"], "description"=>"a<p>This group may also contain passengers but probably notmany as “unspecified occupant” was rare for collisions.These have been included in the fatality rate estimate.</p>b<p>Estimates are likely to be a little too high due to the assumption that unspecified occupants are all drivers: an unknown proportion would have been passengers, especially for females.</p>c<p>Note that these averages include both local roads and motorways/multi-lane divided roadways, where fatality rates are an order of magnitude lower than general purpose roads, but data are not available by age and sex.</p>d<p>This figure is greatly exaggerated by under-measurement of under-aged driving.</p>e<p>The base for this was much smaller than distances for other ages, sex, and travel modes.</p>f<p>These figures are too high as V19.8 is a dustbin code, including some off-highway falls.</p>g<p>Not included in the fatality rate.</p>h<p>Estimates are too low, as some ‘unspecified location’ deaths will have been on-highway.</p>", "links"=>[], "tags"=>["numbers", "rates", "england"], "article_id"=>201102, "categories"=>["Medicine", "Biotechnology"], "users"=>["Jennifer S. Mindell", "Deborah Leslie", "Malcolm Wardlaw"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0050606.t002", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Fatality_numbers_and_rates_per_distance_travelled_by_travel_mode_age_and_type_of_incident_Females_England_2007_8211_2009_/201102", "title"=>"Fatality numbers and rates per distance travelled, by travel mode, age, and type of incident, Females, England 2007–2009.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-12-05 00:18:22"}
  • {"files"=>["https://ndownloader.figshare.com/files/530635"], "description"=>"a<p>This group may also contain passengers but probably notmany as “unspecified occupant” was rare for collisions.These have been included in the fatality rate estimate.</p>b<p>Estimates are likely to be a little too high due to the assumption that unspecified occupants are all drivers: an unknown proportion would have been passengers, especially for females.</p>c<p>Note that these averages include both local roads and motorways/multi-lane divided roadways, where fatality rates are an order of magnitude lower than general purpose roads, but data are not available by age and sex.</p>d<p>This figure is greatly exaggerated by under-measurement of under-aged driving.</p>e<p>These figures are too high as V19.8 is a dustbin code, including some off-highway falls.</p>f<p>Not included in the fatality rate.</p>g<p>Estimates are too low, as some ‘unspecified location’ deaths will have been on-highway.</p>", "links"=>[], "tags"=>["numbers", "rates", "england"], "article_id"=>201135, "categories"=>["Medicine", "Biotechnology"], "users"=>["Jennifer S. Mindell", "Deborah Leslie", "Malcolm Wardlaw"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0050606.t001", "stats"=>{"downloads"=>6, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Fatality_numbers_and_rates_per_distance_travelled_by_travel_mode_age_and_type_of_incident_Males_England_2007_8211_2009_/201135", "title"=>"Fatality numbers and rates per distance travelled, by travel mode, age, and type of incident, Males, England 2007–2009.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-12-05 00:18:55"}
  • {"files"=>["https://ndownloader.figshare.com/files/530543"], "description"=>"a<p>This group may also contain passengers but probably notmany as “unspecified occupant” was rare for collisions.These have been included in the fatality rate estimate.</p>b<p>Estimates are likely to be a little too high due to the assumption that unspecified occupants are all drivers: an unknown proportion would have been passengers.</p>c<p>Note that these averages include both local roads and motorways/multi-lane divided roadways, where fatality rates are an order of magnitude lower than general purpose roads, but data are not available by age and sex.</p>d<p>This figure is greatly exaggerated by under-measurement of under-aged driving.</p>e<p>The base for this was much smaller than distances for other ages, sex, and travel modes.</p>f<p>These figures are too high as V19.8 is a dustbin code, including some off-highway falls.</p>g<p>Not included in the fatality rate.</p>h<p>Estimates are too low, as some ‘unspecified location’ deaths will have been on-highway.</p>", "links"=>[], "tags"=>["numbers", "rates", "england"], "article_id"=>201040, "categories"=>["Medicine", "Biotechnology"], "users"=>["Jennifer S. Mindell", "Deborah Leslie", "Malcolm Wardlaw"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0050606.t004", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Hospital_admission_numbers_and_rates_per_distance_travelled_by_travel_mode_age_and_type_of_incident_Females_England_2007_8211_2009_/201040", "title"=>"Hospital admission numbers and rates per distance travelled, by travel mode, age, and type of incident, Females, England 2007–2009.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-12-05 00:17:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/530516"], "description"=>"a<p>mhu: million hours use, estimated using National Travel Survey average speed for all trips by this mode as not available by age and sex.</p>b<p>These averages include both local roads and motorways/multi-lane divided roadways, where fatality rates are an order of magnitude lower than general purpose roads, but data are not available by age and sex.</p>c<p>This figure is greatly exaggerated by under-measurement of under-aged driving.</p>d<p>These figures are too high as V19.8 is a dustbin code, including some off-highway falls.</p>e<p>Estimates are too low, as some ‘unspecified location’ deaths will have been on-highway.</p>", "links"=>[], "tags"=>["rates", "england"], "article_id"=>201016, "categories"=>["Medicine", "Biotechnology"], "users"=>["Jennifer S. Mindell", "Deborah Leslie", "Malcolm Wardlaw"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0050606.t005", "stats"=>{"downloads"=>6, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Hospital_admission_rates_per_million_hours_travel_mhu_a_by_travel_mode_age_and_sex_England_2007_2009_/201016", "title"=>"Hospital admission rates per million hours travel (mhu<sup>a</sup>) by travel mode, age, and sex, England 2007–2009.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-12-05 00:16:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/530417"], "description"=>"<p>a. Males. b. Females. f/mhu: fatality rate per million hours use in England, 2007–2009.</p>", "links"=>[], "tags"=>["rates"], "article_id"=>200920, "categories"=>["Medicine", "Biotechnology"], "users"=>["Jennifer S. Mindell", "Deborah Leslie", "Malcolm Wardlaw"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0050606.g002", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Fatality_rates_per_million_hours_8217_use_by_travel_mode_age_and_sex_/200920", "title"=>"Fatality rates per million hours’ use by travel mode, age, and sex.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-12-05 00:15:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/530298"], "description"=>"<p>Sources of data on transport injuries and fatalities.</p>", "links"=>[], "tags"=>["injuries"], "article_id"=>200796, "categories"=>["Medicine", "Biotechnology"], "users"=>["Jennifer S. Mindell", "Deborah Leslie", "Malcolm Wardlaw"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0050606.g001", "stats"=>{"downloads"=>0, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sources_of_data_on_transport_injuries_and_fatalities_/200796", "title"=>"Sources of data on transport injuries and fatalities.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-12-05 00:13:16"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"10", "full-text"=>"11", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"2"}
  • {"unique-ip"=>"15", "full-text"=>"11", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"4"}
  • {"unique-ip"=>"3", "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"=>"5"}
  • {"unique-ip"=>"7", "full-text"=>"5", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2013", "month"=>"6"}
  • {"unique-ip"=>"1", "full-text"=>"0", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2013", "month"=>"7"}
  • {"unique-ip"=>"6", "full-text"=>"7", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2013", "month"=>"8"}
  • {"unique-ip"=>"6", "full-text"=>"11", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"9"}
  • {"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"=>"2013", "month"=>"10"}
  • {"unique-ip"=>"9", "full-text"=>"14", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "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"=>"2013", "month"=>"12"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"1"}
  • {"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"=>"2014", "month"=>"2"}
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  • {"unique-ip"=>"5", "full-text"=>"2", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"4"}
  • {"unique-ip"=>"7", "full-text"=>"6", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"4"}
  • {"unique-ip"=>"7", "full-text"=>"9", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"5"}
  • {"unique-ip"=>"4", "full-text"=>"3", "pdf"=>"3", "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"=>"9", "full-text"=>"9", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"3"}
  • {"unique-ip"=>"11", "full-text"=>"12", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"2"}
  • {"unique-ip"=>"6", "full-text"=>"4", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"8"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"9"}
  • {"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"=>"2015", "month"=>"10"}
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  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"8"}
  • {"unique-ip"=>"8", "full-text"=>"7", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"9"}
  • {"unique-ip"=>"15", "full-text"=>"23", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"10"}
  • {"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"=>"2"}
  • {"unique-ip"=>"6", "full-text"=>"10", "pdf"=>"2", "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"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"12"}
  • {"unique-ip"=>"5", "full-text"=>"8", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"1"}
  • {"unique-ip"=>"10", "full-text"=>"8", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2015", "month"=>"11"}
  • {"unique-ip"=>"10", "full-text"=>"10", "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"=>"8", "full-text"=>"5", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"1"}
  • {"unique-ip"=>"5", "full-text"=>"10", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"3"}
  • {"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"=>"4"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"5"}
  • {"unique-ip"=>"2", "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"=>"6"}
  • {"unique-ip"=>"9", "full-text"=>"10", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"7"}
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Relative Metric

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