An Analysis of the Abstracts Presented at the Annual Meetings of the Society for Neuroscience from 2001 to 2006
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{"title"=>"An Analysis of the Abstracts Presented at the Annual Meetings of the Society for Neuroscience from 2001 to 2006", "type"=>"journal", "authors"=>[{"first_name"=>"John M.", "last_name"=>"Lin"}, {"first_name"=>"Jason W.", "last_name"=>"Bohland"}, {"first_name"=>"Peter", "last_name"=>"Andrews"}, {"first_name"=>"Gully A. P. C.", "last_name"=>"Burns"}, {"first_name"=>"Cara B.", "last_name"=>"Allen"}, {"first_name"=>"Partha P.", "last_name"=>"Mitra"}], "year"=>2008, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"1932-6203", "arxiv"=>"0710.2523", "isbn"=>"1932-6203", "pmid"=>"18446237", "doi"=>"10.1371/journal.pone.0002052"}, "id"=>"fde5f2bf-a52f-3e02-9b1d-7dcf75249f36", "abstract"=>"Annual meeting abstracts published by scientific societies often contain rich arrays of information that can be computationally mined and distilled to elucidate the state and dynamics of the subject field. We extracted and processed abstract data from the Society for Neuroscience (SFN) annual meeting abstracts during the period 2001-2006 in order to gain an objective view of contemporary neuroscience. An important first step in the process was the application of data cleaning and disambiguation methods to construct a unified database, since the data were too noisy to be of full utility in the raw form initially available. Using natural language processing, text mining, and other data analysis techniques, we then examined the demographics and structure of the scientific collaboration network, the dynamics of the field over time, major research trends, and the structure of the sources of research funding. Some interesting findings include a high geographical concentration of neuroscience research in the north eastern United States, a surprisingly large transient population (66% of the authors appear in only one out of the six studied years), the central role played by the study of neurodegenerative disorders in the neuroscience community, and an apparent growth of behavioral/systems neuroscience with a corresponding shrinkage of cellular/molecular neuroscience over the six year period. The results from this work will prove useful for scientists, policy makers, and funding agencies seeking to gain a complete and unbiased picture of the community structure and body of knowledge encapsulated by a specific scientific domain.", "link"=>"http://www.mendeley.com/research/analysis-abstracts-presented-annual-meetings-society-neuroscience-2001-2006-12", "reader_count"=>35, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>7, "Librarian"=>3, "Researcher"=>10, "Student > Ph. D. Student"=>9, "Other"=>1, "Student > Bachelor"=>1, "Lecturer"=>1, "Professor"=>3}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>7, "Librarian"=>3, "Researcher"=>10, "Student > Ph. D. Student"=>9, "Other"=>1, "Student > Bachelor"=>1, "Lecturer"=>1, "Professor"=>3}, "reader_count_by_subject_area"=>{"Engineering"=>2, "Nursing and Health Professions"=>1, "Agricultural and Biological Sciences"=>10, "Medicine and Dentistry"=>6, "Neuroscience"=>4, "Business, Management and Accounting"=>1, "Psychology"=>3, "Social Sciences"=>4, "Computer Science"=>4}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>2}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>6}, "Neuroscience"=>{"Neuroscience"=>4}, "Social Sciences"=>{"Social Sciences"=>4}, "Psychology"=>{"Psychology"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>10}, "Computer Science"=>{"Computer Science"=>4}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}}, "reader_count_by_country"=>{"United States"=>4, "Chile"=>1, "Malta"=>1}, "group_count"=>1}

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  • {"files"=>["https://ndownloader.figshare.com/files/932548"], "description"=>"<p>(A) Histograms of the betweenness centrality (bc) normalized by total number of possible edges, [N*(N-1)]/2, where <i>N</i> is the number of authors, from all authors plotted in log scale. The majority of the authors have very small normalized bc (less than 0.005), and only a few authors have disproportionately large bc. (B) The averaged normalized bc over all authors having the same number of abstracts as a function of the number of abstracts. On average, the betweenness centrality of an author and the number of the abstracts follow a power law.</p>", "links"=>[], "tags"=>["histograms", "betweenness", "centrality", "normalized", "authors", "plotted", "bc", "disproportionately", "averaged", "having", "abstracts"], "article_id"=>602976, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.g006", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_Histograms_of_the_betweenness_centrality_bc_normalized_by_total_number_of_possible_edges_N_N_1_2_where_N_is_the_number_of_authors_from_all_authors_plotted_in_log_scale_The_majority_of_the_authors_have_very_small_normalized_bc_less_than_0_005_and_only_a/602976", "title"=>"(A) Histograms of the betweenness centrality (bc) normalized by total number of possible edges, [N*(N-1)]/2, where <i>N</i> is the number of authors, from all authors plotted in log scale. The majority of the authors have very small normalized bc (less than 0.005), and only a few authors have disproportionately large bc. (B) The averaged normalized bc over all authors having the same number of abstracts as a function of the number of abstracts. On average, the betweenness centrality of an author and the number of the abstracts follow a power law.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-04-30 00:49:36"}
  • {"files"=>["https://ndownloader.figshare.com/files/933725"], "description"=>"<p>Abbreviations: HVC = “High Vocal Center”; AD = “Alzheimer's Disease”; REM = “Rapid Eye Movement”; SCN = Suprachiasmatic Nucleus”.</p><p>The third column of the table shows the subjective topic label assigned by domain experts to each cluster. The last column shows the 7 most distinguishing words found in the 20 most frequently used words in each cluster.</p>", "links"=>[], "tags"=>["10", "clusters", "produced", "ncuts", "algorithm", "performed", "nearest-neighbor", "graph"], "article_id"=>604160, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.t006", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_10_clusters_produced_by_the_NCuts_algorithm_performed_on_the_nearest_neighbor_graph_from_year_2001_2006_see_Materials_and_Methods_/604160", "title"=>"The 10 clusters produced by the NCuts algorithm performed on the nearest-neighbor graph from year 2001–2006 (see Materials and Methods).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2008-04-30 01:09:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/933682"], "description"=>"<p>Some graph analysis results for multi-year SFN data.</p>", "links"=>[], "tags"=>["graph", "multi-year", "sfn"], "article_id"=>604126, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.t004", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Some_graph_analysis_results_for_multi_year_SFN_data_/604126", "title"=>"Some graph analysis results for multi-year SFN data.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2008-04-30 01:08:46"}
  • {"files"=>["https://ndownloader.figshare.com/files/933577"], "description"=>"<p>Basic statistics of SFN data for the 6-year period between 2001 and 2006.</p>", "links"=>[], "tags"=>["sfn", "6-year", "2001"], "article_id"=>604027, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.t003", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Basic_statistics_of_SFN_data_for_the_6_year_period_between_2001_and_2006_/604027", "title"=>"Basic statistics of SFN data for the 6-year period between 2001 and 2006.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2008-04-30 01:07:07"}
  • {"files"=>["https://ndownloader.figshare.com/files/933409"], "description"=>"<p>Adjusted Rand Index comparing similarity of SFN themes and NCuts-based partitioning versus number of clusters.</p>", "links"=>[], "tags"=>["rand", "comparing", "sfn", "themes", "ncuts-based", "partitioning"], "article_id"=>603852, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.g014", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Adjusted_Rand_Index_comparing_similarity_of_SFN_themes_and_NCuts_based_partitioning_versus_number_of_clusters_/603852", "title"=>"Adjusted Rand Index comparing similarity of SFN themes and NCuts-based partitioning versus number of clusters.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-04-30 01:04:12"}
  • {"files"=>["https://ndownloader.figshare.com/files/932658"], "description"=>"<p>Projections of the terms (represented by the blue dots) on the reduced vector space formed by the 2<sup>nd</sup> and 3<sup>rd</sup> singular vectors of the truncated Singular Value Decomposition (See <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0002052#s3\" target=\"_blank\">Materials and Methods</a>). Select terms with high frequencies are labeled in the figure. Note that these terms were stemmed.</p>", "links"=>[], "tags"=>["reduced", "vector", "formed", "singular", "vectors", "truncated", "decomposition", "frequencies", "labeled"], "article_id"=>603093, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.g007", "stats"=>{"downloads"=>0, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Projections_of_the_terms_represented_by_the_blue_dots_on_the_reduced_vector_space_formed_by_the_2_nd_and_3_rd_singular_vectors_of_the_truncated_Singular_Value_Decomposition_See_Materials_and_Methods_Select_terms_with_high_frequencies_are_labeled_in_the_f/603093", "title"=>"Projections of the terms (represented by the blue dots) on the reduced vector space formed by the 2<sup>nd</sup> and 3<sup>rd</sup> singular vectors of the truncated Singular Value Decomposition (See Materials and Methods). Select terms with high frequencies are labeled in the figure. Note that these terms were stemmed.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-04-30 00:51:33"}
  • {"files"=>["https://ndownloader.figshare.com/files/933534"], "description"=>"<p>The meeting location for each year is highlighted in parenthesis in the first row. For each city in the table, the corresponding per capita participation (in percentage) is also included in parenthesis, if available.</p>", "links"=>[], "tags"=>["10", "cities", "sfn", "authors", "2001"], "article_id"=>603974, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.t001", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Top_10_cities_for_SFN_representation_in_terms_of_raw_number_of_abstract_authors_between_2001_and_2006_/603974", "title"=>"Top 10 cities for SFN representation in terms of raw number of abstract authors between 2001 and 2006.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2008-04-30 01:06:14"}
  • {"files"=>["https://ndownloader.figshare.com/files/933012"], "description"=>"<p>(A) Dynamics of Cluster 9 (“Visual and Motor Systems”), which shows consistent and strong increase in representation from 2001 to 2006. (B) Dynamics of Cluster 2 (“Cellular Neuroscience”), which shows steady decrease in representation from 2001 to 2006.</p>", "links"=>[], "tags"=>["Computational biology", "computer science", "neuroscience", "science policy", "computational biology/computational neuroscience", "computational biology/literature analysis", "computer science/applications", "computer science/information technology", "mathematics/algorithms", "mathematics/statistics"], "article_id"=>603447, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.g010", "stats"=>{"downloads"=>0, "page_views"=>14, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_10_/603447", "title"=>"Figure 10", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-04-30 00:57:27"}
  • {"files"=>["https://ndownloader.figshare.com/files/932023"], "description"=>"<p>Percentage change in proportion of overall author contributions that were from the region surrounding the meeting location (100, 300, or 500 mile radius) relative to years when the meeting was elsewhere (for all meetings, 2001–2006).</p>", "links"=>[], "tags"=>["Computational biology", "computer science", "neuroscience", "science policy", "computational biology/computational neuroscience", "computational biology/literature analysis", "computer science/applications", "computer science/information technology", "mathematics/algorithms", "mathematics/statistics"], "article_id"=>602459, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.g002", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_effect_of_meeting_location_on_nearby_author_participation_/602459", "title"=>"The effect of meeting location on nearby author participation.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-04-30 00:40:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/931925"], "description"=>"<p>Changes in the percentage of raw numbers of abstract authors for several geographical locations between the year 2001 and 2006.</p>", "links"=>[], "tags"=>["Computational biology", "computer science", "neuroscience", "science policy", "computational biology/computational neuroscience", "computational biology/literature analysis", "computer science/applications", "computer science/information technology", "mathematics/algorithms", "mathematics/statistics"], "article_id"=>602353, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.g001", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_1_/602353", "title"=>"Figure 1", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-04-30 00:39:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/933232"], "description"=>"<p>(A) Distribution of NIH funding across institutes and themes for the 2006 meeting abstracts. (B) Distribution of NIH funding across institutes and Theme F subthemes for the 2006 meeting abstracts. (C) Distribution of NIH funding across institutes and topic clusters for 2001–2006 meeting abstracts. The color of an individual entry in the “image grid” indicates the number of abstracts from a particular theme (for A), subtheme (for B), or topic cluster (for C, as determined by NCuts graph partitioning) that were funded by a particular NIH institute. Colors are scaled non-linearly for greater contrast. The “bar plots” on each axis indicate the total number of abstracts funded by a particular institute (top) or contained in a particular topic group (left). Both rows and columns have been sorted by total number of abstracts.</p>", "links"=>[], "tags"=>["Computational biology", "computer science", "neuroscience", "science policy", "computational biology/computational neuroscience", "computational biology/literature analysis", "computer science/applications", "computer science/information technology", "mathematics/algorithms", "mathematics/statistics"], "article_id"=>603663, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.g012", "stats"=>{"downloads"=>0, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_12_/603663", "title"=>"Figure 12", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-04-30 01:01:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/932813"], "description"=>"<p>(A) Visualization of topic map for all SFN meeting abstracts from 2001 to 2006. Abstracts assigned to different clusters appear in different colors (see legend). (B) Zooming in at the center of the topic map reveals more detailed clusters</p>", "links"=>[], "tags"=>["Computational biology", "computer science", "neuroscience", "science policy", "computational biology/computational neuroscience", "computational biology/literature analysis", "computer science/applications", "computer science/information technology", "mathematics/algorithms", "mathematics/statistics"], "article_id"=>603238, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.g008", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_8_/603238", "title"=>"Figure 8", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-04-30 00:53:58"}
  • {"files"=>["https://ndownloader.figshare.com/files/933324"], "description"=>"<p>Work flow of determining whether two authors are the same individual.</p>", "links"=>[], "tags"=>["determining", "authors"], "article_id"=>603773, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.g013", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Work_flow_of_determining_whether_two_authors_are_the_same_individual_/603773", "title"=>"Work flow of determining whether two authors are the same individual.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-04-30 01:02:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/932906"], "description"=>"<p>(A) Concordance matrix between NCuts clusters and SFN themes, normalized by cluster size in each row. The matrix has been diagonalized for clarity. (B) Concordance matrix between NCuts clusters and SFN themes, normalized by theme size in each column. The matrix has been diagonalized for clarity.</p>", "links"=>[], "tags"=>["Computational biology", "computer science", "neuroscience", "science policy", "computational biology/computational neuroscience", "computational biology/literature analysis", "computer science/applications", "computer science/information technology", "mathematics/algorithms", "mathematics/statistics"], "article_id"=>603339, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.g009", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_9_/603339", "title"=>"Figure 9", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-04-30 00:55:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/933651"], "description"=>"<p>Themes used by SFN to categorize abstracts submitted for the 2006 meeting.</p>", "links"=>[], "tags"=>["sfn", "categorize", "abstracts", "submitted", "2006"], "article_id"=>604092, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.t005", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Themes_used_by_SFN_to_categorize_abstracts_submitted_for_the_2006_meeting_/604092", "title"=>"Themes used by SFN to categorize abstracts submitted for the 2006 meeting.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2008-04-30 01:08:12"}
  • {"files"=>["https://ndownloader.figshare.com/files/459566"], "description"=>"<div><p>Annual meeting abstracts published by scientific societies often contain rich arrays of information that can be computationally mined and distilled to elucidate the state and dynamics of the subject field. We extracted and processed abstract data from the Society for Neuroscience (SFN) annual meeting abstracts during the period 2001–2006 in order to gain an objective view of contemporary neuroscience. An important first step in the process was the application of data cleaning and disambiguation methods to construct a unified database, since the data were too noisy to be of full utility in the raw form initially available. Using natural language processing, text mining, and other data analysis techniques, we then examined the demographics and structure of the scientific collaboration network, the dynamics of the field over time, major research trends, and the structure of the sources of research funding. Some interesting findings include a high geographical concentration of neuroscience research in the north eastern United States, a surprisingly large transient population (66% of the authors appear in only one out of the six studied years), the central role played by the study of neurodegenerative disorders in the neuroscience community, and an apparent growth of behavioral/systems neuroscience with a corresponding shrinkage of cellular/molecular neuroscience over the six year period. The results from this work will prove useful for scientists, policy makers, and funding agencies seeking to gain a complete and unbiased picture of the community structure and body of knowledge encapsulated by a specific scientific domain.</p></div>", "links"=>[], "tags"=>["abstracts", "presented", "meetings", "neuroscience", "2001", "2006"], "article_id"=>150553, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/An_Analysis_of_the_Abstracts_Presented_at_the_Annual_Meetings_of_the_Society_for_Neuroscience_from_2001_to_2006/150553", "title"=>"An Analysis of the Abstracts Presented at the Annual Meetings of the Society for Neuroscience from 2001 to 2006", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2008-04-30 00:09:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/933109"], "description"=>"<p>Top left: distribution of singular values. The first component accounts for 74.4% of variance. Top right: The first right singular vector (temporal component). Bottom: The most negative and most positive projections of specific words onto the first component. Most positive words are increasing in frequency; most negative words are decreasing.</p>", "links"=>[], "tags"=>["Computational biology", "computer science", "neuroscience", "science policy", "computational biology/computational neuroscience", "computational biology/literature analysis", "computer science/applications", "computer science/information technology", "mathematics/algorithms", "mathematics/statistics"], "article_id"=>603543, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.g011", "stats"=>{"downloads"=>0, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Word_frequency_dynamics_/603543", "title"=>"Word-frequency dynamics.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-04-30 00:59:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/932283"], "description"=>"<p>(A) Histograms of the average number of authors per abstract between 2001 and 2006. (B) Histograms of the average number of abstracts per author between 2001 and 2006.</p>", "links"=>[], "tags"=>["Computational biology", "computer science", "neuroscience", "science policy", "computational biology/computational neuroscience", "computational biology/literature analysis", "computer science/applications", "computer science/information technology", "mathematics/algorithms", "mathematics/statistics"], "article_id"=>602718, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.g004", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_4_/602718", "title"=>"Figure 4", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-04-30 00:45:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/932126"], "description"=>"<p>The locations with the most representation are indicated by dark blue, followed by green, yellow, and finally red, circles.</p>", "links"=>[], "tags"=>["sfn", "authors", "2006", "displayed", "google"], "article_id"=>602566, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.g003", "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Geographical_distribution_of_the_raw_number_of_SFN_abstract_authors_for_2006_displayed_on_a_Google_Map_/602566", "title"=>"Geographical distribution of the raw number of SFN abstract authors for 2006 displayed on a Google Map.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-04-30 00:42:46"}
  • {"files"=>["https://ndownloader.figshare.com/files/933608"], "description"=>"<p>The meeting location for each year is highlighted in parenthesis in the first row.</p>", "links"=>[], "tags"=>["10", "cities", "per-capita", "sfn", "2001"], "article_id"=>604050, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.t002", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Top_10_cities_for_per_capita_SFN_representation_between_2001_and_2006_/604050", "title"=>"Top 10 cities for per-capita SFN representation between 2001 and 2006.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2008-04-30 01:07:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/932375"], "description"=>"<p>(A) Histograms of the number of years in which authors are represented. (B) Growth of attendees at annual SFN meeting from 1971 to 2006 (in base 2 logarithm). (C) Growth of NIH funding from 1976 to 2006.</p>", "links"=>[], "tags"=>["Computational biology", "computer science", "neuroscience", "science policy", "computational biology/computational neuroscience", "computational biology/literature analysis", "computer science/applications", "computer science/information technology", "mathematics/algorithms", "mathematics/statistics"], "article_id"=>602809, "categories"=>["Science Policy", "Information And Computing Sciences", "Mathematics", "Cancer", "Biological Sciences", "Neuroscience", "Medicine"], "users"=>["John M. Lin", "Jason W. Bohland", "Peter Andrews", "Gully A. P. C. Burns", "Cara B. Allen", "Partha P. Mitra"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002052.g005", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_5_/602809", "title"=>"Figure 5", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-04-30 00:46:49"}

PMC Usage Stats | Further Information

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Relative Metric

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