Do Nobel Laureates Create Prize-Winning Networks? An Analysis of Collaborative Research in Physiology or Medicine
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{"title"=>"Do nobel laureates create prize-winning networks? An analysis of collaborative research in physiology or medicine", "type"=>"journal", "authors"=>[{"first_name"=>"Caroline S.", "last_name"=>"Wagner", "scopus_author_id"=>"7402148815"}, {"first_name"=>"Edwin", "last_name"=>"Horlings", "scopus_author_id"=>"54393085600"}, {"first_name"=>"Travis A.", "last_name"=>"Whetsell", "scopus_author_id"=>"47562184500"}, {"first_name"=>"Pauline", "last_name"=>"Mattsson", "scopus_author_id"=>"34977337900"}, {"first_name"=>"Katarina", "last_name"=>"Nordqvist", "scopus_author_id"=>"56857417800"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"606057542", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0134164", "scopus"=>"2-s2.0-84941992278", "pmid"=>"26230622", "sgr"=>"84941992278"}, "id"=>"8f796667-3d81-3e17-8743-86e036de5563", "abstract"=>"Nobel Laureates in Physiology or Medicine who received the Prize between 1969 and 2011 are compared to a matched group of scientists to examine productivity, impact, coauthorship and international collaboration patterns embedded within research networks. After matching for research domain, h-index, and year of first of publication, we compare bibliometric statistics and network measures. We find that the Laureates produce fewer papers but with higher average citations. The Laureates also produce more sole-authored papers both before and after winning the Prize. The Laureates have a lower number of coauthors across their entire careers than the matched group, but are equally collaborative on average. Further, we find no differences in international collaboration patterns. The Laureates coauthor network reveals significant differences from the non-Laureate network. Laureates are more likely to build bridges across a network when measuring by average degree, density, modularity, and communities. Both the Laureate and non-Laureate networks have \"small world\" properties, but the Laureates appear to exploit \"structural holes\" by reaching across the network in a brokerage style that may add social capital to the network. The dynamic may be making the network itself highly attractive and selective. These findings suggest new insights into the role \"star scientists\" in social networks and the production of scientific discoveries.", "link"=>"http://www.mendeley.com/research/nobel-laureates-create-prizewinning-networks-analysis-collaborative-research-physiology-medicine", "reader_count"=>29, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>2, "Librarian"=>3, "Researcher"=>7, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>8, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>2, "Librarian"=>3, "Researcher"=>7, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>8, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Engineering"=>1, "Medicine and Dentistry"=>1, "Business, Management and Accounting"=>2, "Physics and Astronomy"=>2, "Social Sciences"=>13, "Computer Science"=>2, "Decision Sciences"=>1, "Earth and Planetary Sciences"=>1, "Economics, Econometrics and Finance"=>3}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Social Sciences"=>{"Social Sciences"=>13}, "Decision Sciences"=>{"Decision Sciences"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>2}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>3}, "Computer Science"=>{"Computer Science"=>2}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>2}, "Unspecified"=>{"Unspecified"=>3}}, "reader_count_by_country"=>{"Sweden"=>1, "United States"=>1}, "group_count"=>4}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2197654"], "description"=>"<p>Network measures for “primary authors and all coauthors” are represented visually in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0134164#pone.0134164.g001\" target=\"_blank\">Fig 1</a>; Measures for “primary authors only” represented in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0134164#pone.0134164.g002\" target=\"_blank\">Fig 2</a>. The degree distributions are non-normal and highly right skewed. Therefore, the non-parametric independent samples Mann-Whitney test was used to test for statistical significance. Results for “primary authors and all coauthors” are U = 284308736, Z = -1.710, Sig = 0.087. Results for “primary authors only” are U = 1712.5, Z = -2.747, Sig = 0.006. Numbers for “primary authors only” were calculated after filtering for nodes and edges between primary authors separately for each group.</p><p>Comparative Analysis of Laureate and Non-Laureate Networks with and without Coauthors.</p>", "links"=>[], "tags"=>["collaboration patterns", "Laureates coauthor network", "Medicine Nobel Laureates"], "article_id"=>1499952, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Caroline S. Wagner", "Edwin Horlings", "Travis A. Whetsell", "Pauline Mattsson", "Katarina Nordqvist"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0134164.t004", "stats"=>{"downloads"=>2, "page_views"=>19, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparative_Analysis_of_Laureate_and_Non_Laureate_Networks_with_and_without_Coauthors_/1499952", "title"=>"Comparative Analysis of Laureate and Non-Laureate Networks with and without Coauthors.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-07-31 03:46:29"}
  • {"files"=>["https://ndownloader.figshare.com/files/2197640"], "description"=>"<p>Network graphs were produced in Gephi, using the Force Atlas 2 layout, a variant of the Fruchterman-Reingold algorithm with stronger clustering. Linlog mode was used with scaling set to 0.2 and gravity to 10. After applying the Force Atlas 2 layout, Noverlap was used to prevent nodes from overlapping [<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0134164#pone.0134164.ref027\" target=\"_blank\">27</a>]. Node coloring is based on modularity class, identified using the Blondel et al. [<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0134164#pone.0134164.ref018\" target=\"_blank\">18</a>] algorithm.</p>", "links"=>[], "tags"=>["collaboration patterns", "Laureates coauthor network", "Medicine Nobel Laureates"], "article_id"=>1499939, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Caroline S. Wagner", "Edwin Horlings", "Travis A. Whetsell", "Pauline Mattsson", "Katarina Nordqvist"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0134164.g001", "stats"=>{"downloads"=>8, "page_views"=>19, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Nobel_Laureate_Coauthor_Network_left_and_Non_Laureate_Coauthor_Network_right_/1499939", "title"=>"Nobel Laureate Coauthor Network (left) and Non-Laureate Coauthor Network (right).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-07-31 03:46:29"}
  • {"files"=>["https://ndownloader.figshare.com/files/2197643"], "description"=>"<p>Authors are arranged clockwise starting from top center in ascending order from the year of first publication. The size of the nodes indicates the average number of citations received per paper produced by each scientist. Color of the nodes indicates the percentage of sole-authored publications in lifetime output, ranging from 0% (white) to 78.6% (black). Thickness of the edges indicates the number of co-authored publications.</p>", "links"=>[], "tags"=>["collaboration patterns", "Laureates coauthor network", "Medicine Nobel Laureates"], "article_id"=>1499941, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Caroline S. Wagner", "Edwin Horlings", "Travis A. Whetsell", "Pauline Mattsson", "Katarina Nordqvist"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0134164.g002", "stats"=>{"downloads"=>1, "page_views"=>28, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Circular_Hierarchy_of_Coauthor_Relations_Among_Nobel_Laureates_left_and_Non_Laureates_right_/1499941", "title"=>"Circular Hierarchy of Coauthor Relations Among Nobel Laureates (left) and Non-Laureates (right).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-07-31 03:46:29"}
  • {"files"=>["https://ndownloader.figshare.com/files/2197649"], "description"=>"<p>Fruchterman-Reingold layout was used. Node size is based on degree. Laureates are scarlet, and non-Laureates are grey. Edge size represents weight.</p>", "links"=>[], "tags"=>["collaboration patterns", "Laureates coauthor network", "Medicine Nobel Laureates"], "article_id"=>1499947, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Caroline S. Wagner", "Edwin Horlings", "Travis A. Whetsell", "Pauline Mattsson", "Katarina Nordqvist"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0134164.g003", "stats"=>{"downloads"=>1, "page_views"=>20, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Coauthor_Relations_among_Nobel_Laureates_scarlet_and_non_Laureates_grey_/1499947", "title"=>"Coauthor Relations among Nobel Laureates (scarlet) and non-Laureates (grey).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-07-31 03:46:29"}
  • {"files"=>["https://ndownloader.figshare.com/files/2197650"], "description"=>"<p>* = P<0.05—Wilcoxon Rank Sum Test of Median Difference between independent samples. The total number of sole authored papers was divided by the total number of papers for each primary author. The same was done for first author percentages, except sole authored publications were first subtracted. Authors were disambiguated with VantagePoint Software and then aggregated for each primary author.</p><p>Descriptive Statistics at Author Level for Laureates and Non-Laureates.</p>", "links"=>[], "tags"=>["collaboration patterns", "Laureates coauthor network", "Medicine Nobel Laureates"], "article_id"=>1499948, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Caroline S. Wagner", "Edwin Horlings", "Travis A. Whetsell", "Pauline Mattsson", "Katarina Nordqvist"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0134164.t001", "stats"=>{"downloads"=>8, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Descriptive_Statistics_at_Author_Level_for_Laureates_and_Non_Laureates_/1499948", "title"=>"Descriptive Statistics at Author Level for Laureates and Non-Laureates.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-07-31 03:46:29"}
  • {"files"=>["https://ndownloader.figshare.com/files/2197651"], "description"=>"<p>All differences are statistically significant at the P<0.05 level due to large sample size. Number of Authors is calculated after eliminating sole authored records reducing the sample size—Laureate N = 13,104; Non-L. N = 19,221. Nation data is missing for a large number of older papers—Laureates N = 9,165; Non-L. N = 13,076. The total number of international papers (2+) was divided by the total number of papers with country data available to calculate international percent.</p><p>Descriptive Statistics at Paper Level by Laureates and Non-Laureates.</p>", "links"=>[], "tags"=>["collaboration patterns", "Laureates coauthor network", "Medicine Nobel Laureates"], "article_id"=>1499949, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Caroline S. Wagner", "Edwin Horlings", "Travis A. Whetsell", "Pauline Mattsson", "Katarina Nordqvist"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0134164.t002", "stats"=>{"downloads"=>1, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Descriptive_Statistics_at_Paper_Level_by_Laureates_and_Non_Laureates_/1499949", "title"=>"Descriptive Statistics at Paper Level by Laureates and Non-Laureates.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-07-31 03:46:29"}
  • {"files"=>["https://ndownloader.figshare.com/files/2197653"], "description"=>"<p>* = P<0.05 by GLM with Poisson distribution & logit</p><p>The Effect of the Prize on Laureates’ Authorship Patterns.</p>", "links"=>[], "tags"=>["collaboration patterns", "Laureates coauthor network", "Medicine Nobel Laureates"], "article_id"=>1499951, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Caroline S. Wagner", "Edwin Horlings", "Travis A. Whetsell", "Pauline Mattsson", "Katarina Nordqvist"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0134164.t003", "stats"=>{"downloads"=>4, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_Effect_of_the_Prize_on_Laureates_8217_Authorship_Patterns_/1499951", "title"=>"The Effect of the Prize on Laureates’ Authorship Patterns.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-07-31 03:46:29"}

PMC Usage Stats | Further Information

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Relative Metric

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