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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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• http://doi.org/10.1016/j.drudis.2016.03.006
• http://doi.org/10.1186/s13104-015-1463-7
• http://doi.org/10.1098/rstb.2009.0026
• http://doi.org/10.1371/journal.pcbi.1000334
• http://doi.org/10.1016/j.jpedsurg.2015.03.039
• http://doi.org/10.1007/s13755-017-0020-2

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• {"url"=>"http%3A%2F%2Fjournals.plos.org%2Fplosone%2Farticle%3Fid%3D10.1371%252Fjournal.pone.0002052", "share_count"=>0, "like_count"=>0, "comment_count"=>0, "click_count"=>0, "total_count"=>0}

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• {"type"=>"COMMENT", "annotationUri"=>"info:doi/10.1371/annotation/f28c2938-77be-428d-b7ce-aba9e274729c", "title"=>"Referee Comments: Referee 1", "body"=>"Referee 1's review:\n\n**********\nN.B. These are the comments made by the referee when reviewing an earlier version of this paper. Prior to publication, the manuscript has been revised in light of these comments and to address other editorial requirements.\n**********\n\nThe authors present an analysis of the abstracts of the Annual Meeting of Neurosiences with the aim of providing an objective view of the current research trend in terms of demographics, research collaboration, funding resource and main research topics.\n\nAbstract\nThere are several aspects form the abstract which are not very clear, one is related to the statement that the authors want to gain an objective insight if a given research field. Here in terms of the data collection used it is not very clear whether by using only a single journal this can be guaranteed. It seems also likely that the authors provide a view of the research trends published in a given journal (journal publishing policy) rather than covering a whole domain. The structure of the abstract could also be improved. It is also not very clear what the actual use of the provided analysis would be in practice. Here a key issue is also whether the presented strategy be applied to other research domains. It is also not very clear whether this particular topic is suitable/of interest for the readership of PLOS One.\n\nIntroduction\nHere there authors do not mention several points, one is to provide a more in detail overview on previous work related to the presented research. The other is related to actually choosing the topic of neurosciences.\nIt is not clear why the authors used the abstracts only, and not the full text articles.\nThe authors mention the use of reputational indices but do not provide a corresponding reference. The authors should also mention previous work on co-author network extraction (there is at least one working online tool based on PubMed from the Gerstein lab) and also previous work related to citation network extracted from full text biomedical literature is missing. Regarding the monitoring of research trends, there are also several publications which could be mentioned here, e.g. related to research trends on genes and proteins (Hoffmann and Valencia). The importance of author ambiguity has also been addressed before by the WikiAuthors initiative.\n\nResults and Discussion\nGeographical Distribution\nHere are several aspects which are not very clear from the analysis carried out by the authors: how the authors group / define geographical regions and whether the location of the annual meetings has a significant effect on the number of publications from certain (geographically close to the meeting venue) regions. When the authors mention the top five countries, they should keep in mind that EU-15 doesn't correspond to a country. It is also not clear why they did not dissect Europe into the corresponding countries in this study.\n\nBasic statistics and demographics\nThis section lack a clear focus, many aspects are mentioned but it is not clear what the main idea the authors want to present in this section would be. The relevance of some of the mentions points is also not clear.\n\nAnalysis of the co-authorship graphs\nThe authors did a detailed study of the main characteristics of the resulting co-author network with interesting results. What is missing here is a clear motivation why this analysis is relevant , something which is missing in the current manuscript.\n\nTopic modelling\nAlthough the presented approach is interesting and LSI has been used successfully in terms of biomedical literature processing in the domain of microarray data analysis some aspects are not clear form the paper. It seems that the authors used stemmed words as basic input for their system. It seems that using only single words and not exploring additional aspects such as collocations, technical terms etc,.. can only show a partial picture of the relevant topics mentioned in the used abstract collection.\n\nTopic clusters\nThis is a specially interesting part of the presented work and would benefit from more details.", "isRemoved"=>false, "created"=>"2008-05-01T14:33:54Z", "lastModified"=>"2008-05-01T14:33:54Z", "creator"=>{"userId"=>"80539"}, "highlightedText"=>"", "competingInterestStatement"=>{"creatorWasPrompted"=>false, "hasCompetingInterests"=>false}, "parentArticle"=>{"doi"=>"info:doi/10.1371/journal.pone.0002052", "state"=>"published", "journals"=>{"PLoSONE"=>{"journalKey"=>"PLoSONE", "eIssn"=>"1932-6203", "title"=>"PLOS ONE"}}}, "replyTreeSize"=>0, "mostRecentActivity"=>"2008-05-01T14:33:54Z", "replies"=>[]}
• {"type"=>"COMMENT", "annotationUri"=>"info:doi/10.1371/annotation/a672015e-683f-4cc4-99a8-d5dbb32d3d0b", "title"=>"Referee Comments: Referee 2", "body"=>"Referee 2's review:\n\n**********\nN.B. These are the comments made by the referee when reviewing an earlier version of this paper. Prior to publication, the manuscript has been revised in light of these comments and to address other editorial requirements.\n**********\n\nLin et al present an analysis of trends in conference proceedings for the society of neuroscience (2001-6). Although some researchers don't like field trend analyses, I think they can be useful, especially at the policy-making level. The authors report some interesting trends and observations and, overall, I like this paper despite the fact that it is probably almost twice as long as it should be. However, I do have some concerns, both major and minor.\n\nMajor\np.3 The authors comment on the geographical concentration of authors on the east coast, southern cal, Tokyo, etc. Not too coincidentally, these are areas with extremely high population concentrations. I suspect that this trend is something that you will see at any international meeting. The authors sorely need to control for either population density in general (suboptimal solution, yet acceptable) or for the population of scientists in all fields from those cities (best solution, yet data hard to find). The most informative item to report here would be per-capita participation, which would reflect those areas that are *disproportionately* represented in neuroscience research.\n\np. 5: The authors engage in a lot of speculation as to what is causing the slowdown in the growth of meeting attendance. I think the most straightforward explanation is not even mentioned: Physical space limitations. Conference centers range in size, but quite often have an upper bound on auditorium capacity. The suggestion about hotel rooms I think may play a modest factor, but if the conferences are held in major cities, then I would think that unless it is during peak travel time (e.g. winter in Miami) then hotel capacity would not be a limiting factor because people can just stay at hotels further away from the conference center.\n\nFigure 2 I think would be more effective in conveying its point if it were plotted as lines on a graph that all added up to 100%, for the primary reason that from year to year it is not controlling for attendance in this graph. If the authors want to show how proximity and participation are correlated or changing, then they need to factor in # of people not just % change from the previous year.\n\nMinor\np. 1 \"Byzantine arrangement\"? I don't think it behooves the writers to speak in metaphors in official scientific publications.\n\np. 4: The authors mention that there are about 60% \"transients\", which is an interesting observation. What would also be interesting to know is if there are any correlations with geography, institution or even PI within this transient group. That is, is there a person or institution that tends to have a disproportionately high rate of people who enter and leave the field? They speculate, for example, that this is possibly because of blurred boundaries, but it seems like they have already compiled the trend analysis to answer this question, which leads me to wonder why they have not studied if the words in these 60% are on the \"fringe\" in terms of keywords or themes compared to all abstracts? The authors should flesh this out a little bit more.\n\nThe authors mention some of the more confounding facets of text-mining, the acronyms, the spelling variations, etc. They should comment on whether or not they think acronyms have confounded their analysis in any significant way. For example, if there are some acronyms that are particularly problematic in terms of the abstracts they have analyzed (e.g. NF stands for both neurofilament and neurofibromatosis, NA stands for nucleus ambiguous, nucleus accumbens and nucleus angularis, etc.).\n\nThe authors describe the 4 steps by which they resolve institutional affiliation. The obvious question, in my opinion, is why not just use ZIP code?\n\nIs Table 6 really necessary? *especially* since it's available online and can just be referenced?", "isRemoved"=>false, "created"=>"2008-05-01T14:35:13Z", "lastModified"=>"2008-05-01T14:35:13Z", "creator"=>{"userId"=>"80539"}, "highlightedText"=>"", "competingInterestStatement"=>{"creatorWasPrompted"=>false, "hasCompetingInterests"=>false}, "parentArticle"=>{"doi"=>"info:doi/10.1371/journal.pone.0002052", "state"=>"published", "journals"=>{"PLoSONE"=>{"journalKey"=>"PLoSONE", "eIssn"=>"1932-6203", "title"=>"PLOS ONE"}}}, "replyTreeSize"=>0, "mostRecentActivity"=>"2008-05-01T14:35:13Z", "replies"=>[]}

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• {"id"=>"399364622253166592", "text"=>"@virginiahughes a time plot of attendees (showing exponential growth then saturation c.1970-c.2010) can be found here http://t.co/MhDROMHfKx", "created_at"=>"2013-11-10T02:35:20Z", "user"=>"partha_mitra", "user_name"=>"Partha Mitra", "user_profile_image"=>"http://pbs.twimg.com/profile_images/2785338864/3409ae18d667d0ba9f2b288f140c9889_normal.jpeg"}
• {"id"=>"399373119355236352", "text"=>"Super interesting #sfn13 RT @partha_mitra: plot of attendees (showing exponential growth then saturation c.1970-2010) http://t.co/vBe2odp5vW", "created_at"=>"2013-11-10T03:09:06Z", "user"=>"virginiahughes", "user_name"=>"Virginia Hughes", "user_profile_image"=>"http://pbs.twimg.com/profile_images/1368869393/ginny-lwon_normal.jpg"}
• {"id"=>"481060637749936128", "text"=>"An Analysis of the Abstracts Presented at the Annual Meetings of the Society for Neuroscience from 2001 to 2006\nhttp://t.co/4LByqMqkNv", "created_at"=>"2014-06-23T13:06:08Z", "user"=>"Dr_John_Kuna", "user_name"=>"Dr. John G. Kuna", "user_profile_image"=>"http://pbs.twimg.com/profile_images/468763379302023169/THrj7V70_normal.jpeg"}
• {"id"=>"481061250617450496", "text"=>"RT @Dr_John_Kuna: An Analysis of the Abstracts Presented at the Annual Meetings of the Society for Neuroscience from 2001 to 2006\nhttp://t.…", "created_at"=>"2014-06-23T13:08:34Z", "user"=>"BizAsiaAmeraicr", "user_name"=>"CCTV_BizAsiaAmerica", "user_profile_image"=>"http://pbs.twimg.com/profile_images/458133225869549568/lWVRrAzH_normal.jpeg"}

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Figshare

• {"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^nd and 3^rd 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^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 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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F1000Prime