Bibliometric Evidence for a Hierarchy of the Sciences
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{"title"=>"Bibliometric Evidence for a Hierarchy of the Sciences", "type"=>"journal", "authors"=>[{"first_name"=>"Daniele", "last_name"=>"Fanelli", "scopus_author_id"=>"26644812800"}, {"first_name"=>"Wolfgang", "last_name"=>"Gl??nzel", "scopus_author_id"=>"7003697821"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84879478453", "doi"=>"10.1371/journal.pone.0066938", "issn"=>"19326203", "isbn"=>"1932-6203", "pmid"=>"23840557", "scopus"=>"2-s2.0-84879478453", "pui"=>"369200468"}, "id"=>"d9a8eac5-fc96-3fff-986a-e3de646dbdfb", "abstract"=>"The hypothesis of a Hierarchy of the Sciences, first formulated in the 19(th) century, predicts that, moving from simple and general phenomena (e.g. particle dynamics) to complex and particular (e.g. human behaviour), researchers lose ability to reach theoretical and methodological consensus. This hypothesis places each field of research along a continuum of complexity and \"softness\", with profound implications for our understanding of scientific knowledge. Today, however, the idea is still unproven and philosophically overlooked, too often confused with simplistic dichotomies that contrast natural and social sciences, or science and the humanities. Empirical tests of the hypothesis have usually compared few fields and this, combined with other limitations, makes their results contradictory and inconclusive. We verified whether discipline characteristics reflect a hierarchy, a dichotomy or neither, by sampling nearly 29,000 papers published contemporaneously in 12 disciplines and measuring a set of parameters hypothesised to reflect theoretical and methodological consensus. The biological sciences had in most cases intermediate values between the physical and the social, with bio-molecular disciplines appearing harder than zoology, botany or ecology. In multivariable analyses, most of these parameters were independent predictors of the hierarchy, even when mathematics and the humanities were included. These results support a \"gradualist\" view of scientific knowledge, suggesting that the Hierarchy of the Sciences provides the best rational framework to understand disciplines' diversity. A deeper grasp of the relationship between subject matter's complexity and consensus could have profound implications for how we interpret, publish, popularize and administer scientific research.", "link"=>"http://www.mendeley.com/research/bibliometric-evidence-hierarchy-sciences", "reader_count"=>82, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>4, "Librarian"=>4, "Researcher"=>23, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>18, "Student > Postgraduate"=>2, "Student > Master"=>8, "Other"=>5, "Student > Bachelor"=>3, "Lecturer"=>4, "Professor"=>6}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>4, "Librarian"=>4, "Researcher"=>23, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>18, "Student > Postgraduate"=>2, "Student > Master"=>8, "Other"=>5, "Student > Bachelor"=>3, "Lecturer"=>4, "Professor"=>6}, "reader_count_by_subject_area"=>{"Agricultural and Biological Sciences"=>15, "Philosophy"=>2, "Arts and Humanities"=>2, "Business, Management and Accounting"=>5, "Computer Science"=>13, "Earth and Planetary Sciences"=>2, "Economics, Econometrics and Finance"=>2, "Engineering"=>1, "Environmental Science"=>3, "Biochemistry, Genetics and Molecular Biology"=>5, "Medicine and Dentistry"=>5, "Physics and Astronomy"=>3, "Psychology"=>6, "Social Sciences"=>17, "Decision Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>5}, "Social Sciences"=>{"Social Sciences"=>17}, "Decision Sciences"=>{"Decision Sciences"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>3}, "Psychology"=>{"Psychology"=>6}, "Environmental Science"=>{"Environmental Science"=>3}, "Arts and Humanities"=>{"Arts and Humanities"=>2}, "Engineering"=>{"Engineering"=>1}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>2}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>15}, "Computer Science"=>{"Computer Science"=>13}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>5}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>5}, "Philosophy"=>{"Philosophy"=>2}}, "reader_count_by_country"=>{"Argentina"=>1, "United States"=>2, "United Kingdom"=>2, "Malaysia"=>1, "Portugal"=>1, "Spain"=>1, "Russia"=>1, "Venezuela"=>1, "Netherlands"=>1, "Sweden"=>1, "Belgium"=>2, "Poland"=>1, "Mexico"=>1, "Chile"=>1, "Germany"=>3}, "group_count"=>7}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1101937", "https://ndownloader.figshare.com/files/1101938", "https://ndownloader.figshare.com/files/1101939"], "description"=>"<div><p>The hypothesis of a Hierarchy of the Sciences, first formulated in the 19<sup>th</sup> century, predicts that, moving from simple and general phenomena (e.g. particle dynamics) to complex and particular (e.g. human behaviour), researchers lose ability to reach theoretical and methodological consensus. This hypothesis places each field of research along a continuum of complexity and “softness”, with profound implications for our understanding of scientific knowledge. Today, however, the idea is still unproven and philosophically overlooked, too often confused with simplistic dichotomies that contrast natural and social sciences, or science and the humanities. Empirical tests of the hypothesis have usually compared few fields and this, combined with other limitations, makes their results contradictory and inconclusive. We verified whether discipline characteristics reflect a hierarchy, a dichotomy or neither, by sampling nearly 29,000 papers published contemporaneously in 12 disciplines and measuring a set of parameters hypothesised to reflect theoretical and methodological consensus. The biological sciences had in most cases intermediate values between the physical and the social, with bio-molecular disciplines appearing harder than zoology, botany or ecology. In multivariable analyses, most of these parameters were independent predictors of the hierarchy, even when mathematics and the humanities were included. These results support a “gradualist” view of scientific knowledge, suggesting that the Hierarchy of the Sciences provides the best rational framework to understand disciplines' diversity. A deeper grasp of the relationship between subject matter's complexity and consensus could have profound implications for how we interpret, publish, popularize and administer scientific research.</p></div>", "links"=>[], "tags"=>["Applied mathematics", "Complex systems", "Research assessment", "Research validity", "reproducibility", "Bibliometrics", "Peer review", "Publication practices", "Research monitoring", "Research integrity", "Science education", "Science and technology workforce", "Careers in research", "information science", "Sociology", "social networks", "Sociology of knowledge", "hierarchy"], "article_id"=>732187, "categories"=>["Mathematics", "Science Policy", "Sociology"], "users"=>["Daniele Fanelli", "Wolfgang Glänzel"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0066938.s001", "https://dx.doi.org/10.1371/journal.pone.0066938.s002", "https://dx.doi.org/10.1371/journal.pone.0066938.s003"], "stats"=>{"downloads"=>4, "page_views"=>31, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Bibliometric_Evidence_for_a_Hierarchy_of_the_Sciences_/732187", "title"=>"Bibliometric Evidence for a Hierarchy of the Sciences", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-06-26 08:47:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/1101935"], "description"=>"<p>Multiple ordinal regression assessing how parameters hypothesised to reflect consensus predict a rank order of scientific domains (main test: I-physical, II-biological-hard, III-biological-soft, IV-social sciences; extended test: same as main, with mathematics and humanities at the two ends). For details on each parameter, see introduction and methods. Use of first person pronouns was measured through an interaction term with a dummy variable separating single and multi-authored papers – the main effects for these latter two are retained to ensure a hierarchically well-formulated model. [Data sourced from Thomson Reuters Web of Knowledge].</p>", "links"=>[], "tags"=>["Applied mathematics", "Complex systems", "Research assessment", "Research validity", "reproducibility", "Bibliometrics", "Peer review", "Publication practices", "Research monitoring", "Research integrity", "Science education", "Science and technology workforce", "Careers in research", "information science", "Sociology", "social networks", "Sociology of knowledge"], "article_id"=>732186, "categories"=>["Mathematics", "Science Policy", "Sociology"], "users"=>["Daniele Fanelli", "Wolfgang Glänzel"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066938.t002", "stats"=>{"downloads"=>1, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Main_and_extended_test_all_parameters_combined_/732186", "title"=>"Main and extended test, all parameters combined.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-06-26 08:47:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/1101926"], "description"=>"<p>Panel A: probabilities to share a given number of references with any other paper in the sample, estimated by exponential random graph modelling. The model controlled for number of references cited by each paper, number of triangles and edges. Error bars are 95% Confidence Intervals, bh is the reference category, and has therefore all values set to zero. Panel B: network of shared references, in Yifan Hu Proportional layout. Panel C: network partitioned by domain, with average degree, modularity and average path length. [Data sourced from Thomson Reuters Web of Knowledge].</p>", "links"=>[], "tags"=>["Applied mathematics", "Complex systems", "Research assessment", "Research validity", "reproducibility", "Bibliometrics", "Peer review", "Publication practices", "Research monitoring", "Research integrity", "Science education", "Science and technology workforce", "Careers in research", "information science", "Sociology", "social networks", "Sociology of knowledge", "coupling", "partitioned", "darker", "biological-hard", "lighter", "biological-soft"], "article_id"=>732181, "categories"=>["Mathematics", "Science Policy", "Sociology"], "users"=>["Daniele Fanelli", "Wolfgang Glänzel"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066938.g003", "stats"=>{"downloads"=>2, "page_views"=>60, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Bibliographic_coupling_network_of_papers_partitioned_by_scientific_domain_total_N_8202_8202_28_477_yellow_8202_8202_mathematics_blue_8202_8202_physical_sciences_darker_green_8202_8202_biological_hard_sc_lighter_green_8202_8202_biological_soft_sc_red_8202/732181", "title"=>"Bibliographic coupling network of papers, partitioned by scientific domain (total N = 28,477; yellow  =  mathematics; blue  =  physical sciences; darker green  =  biological-hard sc.; lighter green  =  biological-soft sc.; red  =  social sc.; purple  =  humanities).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-26 08:47:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/1101925"], "description"=>"<p>Domains are attributed based on journal, following the classifications of Essential Science Indicators and Arts & Humanities Science Citation Index: m  =  mathematics; p  =  physical sciences (Space Sc.+ Physics + Chemistry); bh  =  biological-hard sciences (Molecular Biology + Biology & Biochemistry); bs  =  biological-soft sciences (Plant and Animal Sc. + Environment/Ecology); s  =  social sciences (Psychiatry/Psychology + Economics & Business + Social Sciences, General); h  =  humanities. [Data sourced from Thomson Reuters Web of Knowledge].</p>", "links"=>[], "tags"=>["Applied mathematics", "Complex systems", "Research assessment", "Research validity", "reproducibility", "Bibliometrics", "Peer review", "Publication practices", "Research monitoring", "Research integrity", "Science education", "Science and technology workforce", "Careers in research", "information science", "Sociology", "social networks", "Sociology of knowledge", "hypothesised"], "article_id"=>732180, "categories"=>["Mathematics", "Science Policy", "Sociology"], "users"=>["Daniele Fanelli", "Wolfgang Glänzel"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066938.g002", "stats"=>{"downloads"=>0, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Paper_characteristics_hypothesised_to_reflect_the_level_of_consensus_by_scientific_domain_/732180", "title"=>"Paper characteristics hypothesised to reflect the level of consensus, by scientific domain.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-26 08:47:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/1101934"], "description"=>"<p>Predicted correlation of each bibliometric parameter with a field's level of scholarly consensus brief explanation of hypothesised causal mechanism, and studies from which the predictions were derived. Extensive explanations for each parameter are given in the Methods section.</p>", "links"=>[], "tags"=>["Applied mathematics", "Complex systems", "Research assessment", "Research validity", "reproducibility", "Bibliometrics", "Peer review", "Publication practices", "Research monitoring", "Research integrity", "Science education", "Science and technology workforce", "Careers in research", "information science", "Sociology", "social networks", "Sociology of knowledge"], "article_id"=>732185, "categories"=>["Mathematics", "Science Policy", "Sociology"], "users"=>["Daniele Fanelli", "Wolfgang Glänzel"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066938.t001", "stats"=>{"downloads"=>1, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_of_predictions_/732185", "title"=>"Summary of predictions.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-06-26 08:47:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/1101928"], "description"=>"<p>Classification is based on journal, following the systems of Essential Science Indicators and Arts & Humanities Science Citation Index: ma  =  mathematics; sp  =  Space Science; ph =  Physics; ch  =  Chemistry; mb  =  Molecular Biology; bb  =  Biology & Biochemistry; pa  =  Plant and Animal Sciences; ee  =  Environment/Ecology; pp  =  Psychiatry/Psychology; eb  =  Economics & Business; so  =  Social Sciences, General; ah  =  Arts & Humanities. [Data sourced from Thomson Reuters Web of Knowledge].</p>", "links"=>[], "tags"=>["Applied mathematics", "Complex systems", "Research assessment", "Research validity", "reproducibility", "Bibliometrics", "Peer review", "Publication practices", "Research monitoring", "Research integrity", "Science education", "Science and technology workforce", "Careers in research", "information science", "Sociology", "social networks", "Sociology of knowledge", "hypothesised"], "article_id"=>732183, "categories"=>["Mathematics", "Science Policy", "Sociology"], "users"=>["Daniele Fanelli", "Wolfgang Glänzel"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066938.g005", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Paper_characteristics_hypothesised_to_reflect_the_level_of_consensus_by_scientific_discipline_/732183", "title"=>"Paper characteristics hypothesised to reflect the level of consensus, by scientific discipline.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-26 08:47:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/1101933"], "description"=>"<p>Numbers report average degree, modularity and average path length. Classification based on journal, following the systems of Essential Science Indicators and Arts & Humanities Science Citation Index: ma  =  mathematics; sp  =  Space Science; ph =  Physics; ch  =  Chemistry; mb  =  Molecular Biology; bb  =  Biology & Biochemistry; pa  =  Plant and Animal Sciences; ee  =  Environment/Ecology; pp  =  Psychiatry/Psychology; eb  =  Economics & Business; so  =  Social Sciences, general; ah  =  Arts & Humanities. High-resolution images available from the authors. [Data sourced from Thomson Reuters Web of Knowledge].</p>", "links"=>[], "tags"=>["Applied mathematics", "Complex systems", "Research assessment", "Research validity", "reproducibility", "Bibliometrics", "Peer review", "Publication practices", "Research monitoring", "Research integrity", "Science education", "Science and technology workforce", "Careers in research", "information science", "Sociology", "social networks", "Sociology of knowledge", "coupling", "fruchterman-reingold", "node", "proportional", "colour", "reflecting", "references"], "article_id"=>732184, "categories"=>["Mathematics", "Science Policy", "Sociology"], "users"=>["Daniele Fanelli", "Wolfgang Glänzel"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066938.g006", "stats"=>{"downloads"=>1, "page_views"=>71, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Bibliographic_coupling_networks_in_Fruchterman_Reingold_layout_with_node_size_proportional_to_degree_and_edge_size_and_colour_reflecting_weight_i_e_number_of_shared_references_between_any_two_papers_blue_8202_8202_1_yellow_8202_8202_8805_2_red_8805_5_/732184", "title"=>"Bibliographic coupling networks, in Fruchterman-Reingold layout, with node size proportional to degree, and edge size and colour reflecting weight (i.e. number of shared references between any two papers: blue = 1; yellow =  ≥2; red ≥5).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-26 08:47:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/1101927"], "description"=>"<p>Bars are 95% confidence intervals, and lines are added to help visualize trends, with solid and dotted lines representing, respectively, main and extended test. Physical sciences are the reference category, and therefore have values set to zero. m = mathematics; bh =  hard-biological disciplines (Molecular Biology + Biology & Biochemistry); bs =  soft-biological disciplines (Plant and Animal Sciences + Environment/Ecology); s =  social sciences (Psychiatry/Psychology+Economics & Business+Social Sciences, general), h = humanities. See methods for further details on Methods section, and for the exact regression results with standard error see Table S1. [Data sourced from Thomson Reuters Web of Knowledge].</p>", "links"=>[], "tags"=>["Applied mathematics", "Complex systems", "Research assessment", "Research validity", "reproducibility", "Bibliometrics", "Peer review", "Publication practices", "Research monitoring", "Research integrity", "Science education", "Science and technology workforce", "Careers in research", "information science", "Sociology", "social networks", "Sociology of knowledge", "regression", "hypothesised", "weighted", "corrected"], "article_id"=>732182, "categories"=>["Mathematics", "Science Policy", "Sociology"], "users"=>["Daniele Fanelli", "Wolfgang Glänzel"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066938.g004", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Estimates_of_regression_analyses_with_as_dependent_variable_parameters_hypothesised_to_reflect_consensus_and_as_independent_variables_scientific_domains_weighted_or_corrected_as_described_/732182", "title"=>"Estimates of regression analyses with, as dependent variable parameters hypothesised to reflect consensus and, as independent variables, scientific domains, weighted or corrected as described.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-26 08:47:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/1101923"], "description"=>"<p>Predictions are explicit about empirical sciences, whilst mathematics and the humanities are tested secondarily.</p>", "links"=>[], "tags"=>["Applied mathematics", "Complex systems", "Research assessment", "Research validity", "reproducibility", "Bibliometrics", "Peer review", "Publication practices", "Research monitoring", "Research integrity", "Science education", "Science and technology workforce", "Careers in research", "information science", "Sociology", "social networks", "Sociology of knowledge", "predictions", "tested", "domains", "hardness"], "article_id"=>732178, "categories"=>["Mathematics", "Science Policy", "Sociology"], "users"=>["Daniele Fanelli", "Wolfgang Glänzel"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0066938.g001", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Alternative_predictions_tested_in_this_study_about_how_scientific_domains_should_differ_in_any_measure_of_hardness_or_equivalently_consensus_m_8202_8202_mathematics_p_8202_8202_physical_sciences_b_8202_8202_biological_sc_s_8202_8202_social_sc_h_8202_8202/732178", "title"=>"Alternative predictions tested in this study, about how scientific domains should differ in any measure of hardness (or, equivalently, consensus. m =  mathematics; p  =  physical sciences; b  =  biological sc.; s  =  social sc.; h  =  humanities).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-26 08:47:18"}

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Relative Metric

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