Article-Level Metrics and the Evolution of Scientific Impact
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{"title"=>"Article-level metrics and the evolution of scientific impact", "type"=>"generic", "authors"=>[{"first_name"=>"Cameron", "last_name"=>"Neylon", "scopus_author_id"=>"9738760800"}, {"first_name"=>"Shirley", "last_name"=>"Wu", "scopus_author_id"=>"7407183612"}], "year"=>2009, "source"=>"PLoS Biology", "identifiers"=>{"arxiv"=>"arXiv:1202.3941", "sgr"=>"72949105819", "pui"=>"358015799", "isbn"=>"1715720X", "doi"=>"10.1371/journal.pbio.1000242", "issn"=>"15449173", "scopus"=>"2-s2.0-72949105819", "pmid"=>"19918558"}, "id"=>"c2648fdd-1a56-3cd1-b2f3-adc8bacf50ba", "abstract"=>"The authors discuss the value of article-level metrics in determining an article's scientific impact.", "link"=>"http://www.mendeley.com/research/articlelevel-metrics-evolution-scientific-impact", "reader_count"=>501, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>26, "Librarian"=>84, "Researcher"=>104, "Student > Doctoral Student"=>18, "Student > Ph. D. Student"=>79, "Student > Postgraduate"=>14, "Other"=>52, "Student > Master"=>41, "Student > Bachelor"=>18, "Lecturer"=>6, "Lecturer > Senior Lecturer"=>8, "Professor"=>48}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>26, "Librarian"=>84, "Researcher"=>104, "Student > Doctoral Student"=>18, "Student > Ph. D. Student"=>79, "Student > Postgraduate"=>14, "Other"=>52, "Student > Master"=>41, "Student > Bachelor"=>18, "Lecturer"=>6, "Lecturer > Senior Lecturer"=>8, "Professor"=>48}, "reader_count_by_subject_area"=>{"Unspecified"=>11, "Agricultural and Biological Sciences"=>100, "Arts and Humanities"=>22, "Business, Management and Accounting"=>14, "Chemical Engineering"=>1, "Chemistry"=>5, "Computer Science"=>131, "Earth and Planetary Sciences"=>2, "Economics, Econometrics and Finance"=>4, "Energy"=>1, "Engineering"=>7, "Environmental Science"=>16, "Biochemistry, Genetics and Molecular Biology"=>9, "Mathematics"=>1, "Medicine and Dentistry"=>31, "Design"=>2, "Neuroscience"=>4, "Physics and Astronomy"=>6, "Psychology"=>15, "Social Sciences"=>117, "Immunology and Microbiology"=>1, "Linguistics"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>31}, "Social Sciences"=>{"Social Sciences"=>117}, "Physics and Astronomy"=>{"Physics and Astronomy"=>6}, "Psychology"=>{"Psychology"=>15}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>11}, "Environmental Science"=>{"Environmental Science"=>16}, "Chemical Engineering"=>{"Chemical Engineering"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>22}, "Design"=>{"Design"=>2}, "Engineering"=>{"Engineering"=>7}, "Chemistry"=>{"Chemistry"=>5}, "Neuroscience"=>{"Neuroscience"=>4}, "Energy"=>{"Energy"=>1}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>2}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>4}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>100}, "Computer Science"=>{"Computer Science"=>131}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>14}, "Linguistics"=>{"Linguistics"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>9}}, "reader_count_by_country"=>{"Republic of Singapore"=>2, "United States"=>45, "Malaysia"=>4, "Portugal"=>3, "Iceland"=>1, "Russia"=>2, "Saudi Arabia"=>2, "Greece"=>1, "Austria"=>2, "Netherlands"=>9, "Sweden"=>2, "South Korea"=>2, "Iran"=>1, "Ireland"=>2, "Luxembourg"=>1, "Brazil"=>11, "Poland"=>1, "France"=>6, "Chile"=>1, "Lithuania"=>1, "Argentina"=>2, "Romania"=>2, "Hungary"=>1, "Japan"=>1, "Ukraine"=>2, "United Kingdom"=>37, "Kenya"=>1, "Spain"=>18, "India"=>5, "Cuba"=>3, "Canada"=>13, "Venezuela"=>1, "Bangladesh"=>2, "Turkey"=>1, "Belgium"=>4, "Norway"=>1, "Denmark"=>3, "South Africa"=>5, "Italy"=>2, "Mexico"=>2, "Israel"=>1, "Australia"=>3, "Peru"=>1, "Germany"=>12, "Indonesia"=>1}, "group_count"=>56}

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/876175"], "description"=>"<p>Shown here are article-level metrics for a recent article in <i>PLoS Comput Biol </i><a href=\"http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1000242#pbio.1000242-deRuijter1\" target=\"_blank\">[15]</a>, accessible by clicking the “Metrics” tab on the article Web page. At the top, page view and download counts provide an immediate measure of the number of times people accessed the article via the journal Web site. The plot showing cumulative views gives a sense of the trend in views over time. Citations are shown next and refer to the number of other articles that have referenced this one as indexed in citation databases; PubMed Central and Google Scholar in this case. Citations typically take months or years to appear, but are better indicators of how many other articles have built upon the work. “Other Indicators of Impact” include ratings and comments, which, like page views, are immediate but may offer more insight because users are more likely to have read the article and found it compelling enough to respond. Additional other indicators are bookmarks, used by some people to keep track of articles of interest to them, and blog posts and trackbacks, which indicate where else on the Web the article has been mentioned and can be useful for linking to a broader discussion. It is clear that all of the types of data provide different dimensions, which together can give a clearer picture of an article's impact.</p>", "links"=>[], "tags"=>["metrics"], "article_id"=>546643, "categories"=>["Science Policy"], "users"=>["Cameron Neylon", "Shirley Wu"], "doi"=>"https://dx.doi.org/10.1371/journal.pbio.1000242.g003", "stats"=>{"downloads"=>0, "page_views"=>66, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Article_level_metrics_provided_by_PLoS_/546643", "title"=>"Article-level metrics provided by PLoS.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 03:53:06"}
  • {"files"=>["https://ndownloader.figshare.com/files/876104"], "description"=>"<p>The comments shown are for a research article published in early 2009 <a href=\"http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.1000242#pbio.1000242-Nielsen1\" target=\"_blank\">[17]</a>. Full names and affiliations are typically given, and commenters indicate conflicts of interest but no login is needed to comment. As with BMC articles, threading is not formally implemented.</p>", "links"=>[], "tags"=>["comments"], "article_id"=>546569, "categories"=>["Science Policy"], "users"=>["Cameron Neylon", "Shirley Wu"], "doi"=>"https://dx.doi.org/10.1371/journal.pbio.1000242.g002", "stats"=>{"downloads"=>2, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Examples_of_article_comments_on_BMJ_/546569", "title"=>"Examples of article comments on <i>BMJ</i>.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-21 03:52:41"}

PMC Usage Stats | Further Information

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Relative Metric

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