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Medline-based bibliometric analysis of gastroenterology journals between 2001 and 2007  [cached]
Li-Fang Chou
World Journal of Gastroenterology , 2009,
Abstract: AIM: To analyze the MEDLINE-indexed publications in gastroenterology specialty journals from 2001 to 2007. Special attention was paid to specific types of articles, the number of publications for individual authors and the author count in each journal.METHODS: The bibliographic entries of papers belonging to journals listed under the subject heading of “gastroenterology” were downloaded from MEDLINE on the PubMed web site. The analysis was limited to journal articles published between January 1, 2001 and December 31, 2007. The analytical dimensions of an article included journal, publication year, publication type, and author name (the last name and initials).RESULTS: According to MEDLINE, 81 561 articles were published in 91 gastroenterology journals from 2001 to 2007. The number of articles increased from 9447 in 2001 to 13 340 in 2007. Only 12 journals had more than 2000 articles indexed in MEDLINE. The “World Journal of Gastroenterology” had the largest number of publications (5684 articles), followed by “Hepato-Gastroenterology” (3036) and “Gastrointestinal Endoscopy” (3005). Of all the articles published, reviews accounted for 17.2% and case reports for 15.4%. Only 3739 randomized controlled trials (4.6% of all articles) were published and their annual number increased from 442 in 2001 to 572 in 2007. Among 141 741 author names appearing in the articles of gastroenterology journals, 92 429 had published only in one journal, 22 585 in two journals, 9996 in three journals, and 16 731 in more than three journals. The “World Journal of Gastroenterology” had the greatest number of authors (17 838), followed by “Gastroenterology” (12 770), “Digestive Diseases and Sciences” (11 395), “American Journal of Gastroenterology” (10 889), and “Hepatology” (10 588).CONCLUSION: Global gastroenterology publications displayed a continuous growth in the new millennium. The change was most striking in certain journals. Regular bibliometric analyses on the trends and specific topics would help researchers publish more efficiently and allow editors to adjust the policy more accurately.
Visibility of medical informatics regarding bibliometric indices and databases
Cord Spreckelsen, Thomas M Deserno, Klaus Spitzer
BMC Medical Informatics and Decision Making , 2011, DOI: 10.1186/1472-6947-11-24
Abstract: By objective criteria, three sets of journals are chosen, two representing Medical Informatics and a third addressing Internal Medicine as a benchmark. The availability of index data (index coverage) and the aggregate scores of these corpora are compared for journal-related (Journal impact factor, Eigenfactor metrics, SCImago journal rank) and author-related indices (Hirsch-index, Egghes G-index). Correlation analysis compares the dependence of author-related indices.The bibliometric visibility depended on the research focus and the citation database: Scopus covers more journals relevant for Medical Informatics than ISI/Thomson Reuters. Journals focused on Medical Informatics' methodology were negatively affected by the Eigenfactor metrics, while the visibility profited from an interdisciplinary research focus. The correlation between Hirsch-indices computed on citation databases and the Internet was strong.The visibility of smaller technology-oriented disciplines like Medical Informatics is changed by the new bibliometric indices and databases possibly leading to suitably changed publication strategies. Freely accessible author-related indices enable an easy and adequate individual assessment.Bibliometrics is defined as "the scientific and quantitative study of publications" [1]. Bibliometric indices quantify the scientific impact of journals, research institutions, or scientists by a statistical analysis of the publication effort - mainly by analysing citations [2,3]. Bibliometric visibility of scientific research measures how scientific work in the respective field is perceived and valued.In the last years, online-tools like ISI Web of Knowledge, the SCImago Journal & Country Rank Portal, Google Scholar, and GoPubmed have dramatically improved the availability of bibliometric information [4,5]. At the same time, the misuse of bibliometrics - which triggered criticism for a long time - has become a major concern [6-8]. In this situation, new bibliometric scores ha
Impacto y visibilidad de la Revista Chilena de Cirugía tras su indización en las bases de datos SciELO e ISI: Análisis bibliométrico Impact and visibility of Revista Chilena de Cirugía after its indexing on SciELO and ISI databases: Bibliometric analysis  [cached]
Ricardo Cartes-Velásquez V,Javier Moraga C,Pedro Aravena T,Carlos Manterola D
Revista Chilena de Cirugía , 2012,
Abstract: Objetivo: Caracterizar la visibilidad internacional e impacto de la Revista Chilena de Cirugía (RCC) tras su indización en las bases SciELO (2006) e ISI (2009). Método: Búsqueda en la plataforma WOK de Thomson-Reuters de las citaciones ISI de artículos de la RCC en el período pre-indización (1992-2005), indización SciELO (2006-2008), e indización ISI (2009-2011). Las variables analizadas fueron: número total y promedio anual de citas a la RCC, de artículos de la RCC citados y de artículos que citan a la RCC; autores, revistas e instituciones que citaron, así como su carácter (nacional e internacional), y las citas trienales. Resultados: El promedio anual de citas ISI en el período pre-indización, SciELO e ISI fue de 16,9; 58,3 y 164,7, respectivamente; mientras que el grado de internacionalización de los artículos que originaron las citas a nivel de autores-instituciones/revistas para cada período fue de 8,6% / 32,4%; 8,5% / 38,3%; y 25,8% / 33,6%, respectivamente; las citas trienales de cada período fueron 3, 12 y 34. Las revistas con más citas a RCC fueron Rev Med Chile, RCC, World J Surg y Cir Esp, mientras que a nivel de autores-instituciones vemos una concentración en la Universidad de Chile, Pontificia Universidad Católica y Universidad de La Frontera. Conclusión: La indización de RCC en las bases SciELO e ISI ha traído un incremento en su impacto (citas) y visibilidad internacional, aunque persiste una fuerte citación endogámica que debe ser resuelta a fin de alcanzar un buen nivel internacional. Aim: To characterize the international visibility and impact of Revista Chilena de Cirugía (RCC) after its indexing on SciELO (2006) and ISI (2009) databases. Methods: Search on WOK platform of Thomson-Reuters for ISI citations to RCC articles in the pre-indexing (1992-2005), SciELO indexing (2006-2008) and ISI indexing (2009-2011) periods. Analyzed variables were: total number and anual average of cites to RCC, RCC articles cited and ISI citer articles to RCC; authors, journals and institutions who cite RCC and its international or national origin, and triennial cites. Results: Anual average of ISI cites for pre-indexing, SciELO indexing and ISI indexing periods were 16.9; 58.3 y 164.7, respectively; meanwhile the international origin of articles that cite RCC in the authors-institutions/publication level for each period were 8.6%/32.4%; 8.5%/38.3%; and 25.8%/33.6%, respectively; triennial cites for each period were 3, 12 and 34. Publications with more cites to RCC were Rev Med Chile, RCC, World J Surg and Cir Esp, meanwhile in authors-institutions leve
Spatial Indexing of Large Multidimensional Databases  [PDF]
István Csabai,Márton Trencséni,Géza Herczegh,László Dobos,Péter Józsa,Norbert Purger,Tamás Budavári,Alexander Szalay
Computer Science , 2012,
Abstract: Scientific endeavors such as large astronomical surveys generate databases on the terabyte scale. These, usually multidimensional databases must be visualized and mined in order to find interesting objects or to extract meaningful and qualitatively new relationships. Many statistical algorithms required for these tasks run reasonably fast when operating on small sets of in-memory data, but take noticeable performance hits when operating on large databases that do not fit into memory. We utilize new software technologies to develop and evaluate fast multidimensional indexing schemes that inherently follow the underlying, highly non-uniform distribution of the data: they are layered uniform grid indices, hierarchical binary space partitioning, and sampled flat Voronoi tessellation of the data. Our working database is the 5-dimensional magnitude space of the Sloan Digital Sky Survey with more than 270 million data points, where we show that these techniques can dramatically speed up data mining operations such as finding similar objects by example, classifying objects or comparing extensive simulation sets with observations. We are also developing tools to interact with the multidimensional database and visualize the data at multiple resolutions in an adaptive manner.
Bibliometric Indicators for Publishers: Data processing, indicators and interpretation  [PDF]
Nicolas Robinson-Garcia,Evaristo Jimenez-Contreras,Enrique Fuente-Gutierrez,Daniel Torres-Salinas
Computer Science , 2014,
Abstract: Here we describe the Bibliometric Indicators for Publishers Project, an initiative undertaken by EC3Metrics SL for the analysis and development of indicators based on books and book chapters. Its goal is to study and analyze the publication and citation patterns of books and book chapters considering academic publishers as the unit of analysis. It aims at developing new methodologies and indicators that can better capture and define the research impact of publishers. It is an on-going project in which data sources and indicators are tested. We consider academic publishers as an analogy of journals, focusing on them as the unit of analysis. In this working paper we present the http://bipublishers.es website where all findings derived from the project are displayed. We describe the data retrieval and normalization process and we show the main results. A total 482,470 records have been retrieved and processed, identifying 342 publishers from which 254 have been analyzed. Then six indicators have been calculated for each publisher for four fields and 38 disciplines and displayed.
Searching and Indexing Genomic Databases via Kernelization  [PDF]
Travis Gagie,Simon J. Puglisi
Computer Science , 2014,
Abstract: The rapid advance of DNA sequencing technologies has yielded databases of thousands of genomes. To search and index these databases effectively, it is important that we take advantage of the similarity between those genomes. Several authors have recently suggested searching or indexing only one reference genome and the parts of the other genomes where they differ. In this paper we survey the twenty-year history of this idea and discuss its relation to kernelization in parameterized complexity.
Name Authority Challenges for Indexing and Abstracting Databases  [cached]
Denise Beaubien Bennett,Priscilla Williams
Evidence Based Library and Information Practice , 2006,
Abstract: Objective - This analysis explores alternative methods for managing author name changes in Indexing and Abstarcting (I&A) databases. A searcher may retrieve incomplete or inaccurate results when the database provides no or faulty assistance in linking author name variations. Methods - The article includes an analysis of current name authority practices in I&A databases and of selected research into name disambiguation models applied to authorship of articles. Results - Several potential solutiona are in production or in development. MathSciNet has developed an authority file. The method is largely machine-based but it involves time-consuming manual intervention that might not scale up to larger or more multidisciplinary databases. The use of standard numbers for authors has been proposed. Solutions in practice include author-managed registration records and linking among several authority files. Information science and computer science researchers are developing models to automate processes for name disambiguation, shifting focus from authority control to access control. Successful models use metadata beyond the author name alone, such as co-authors, author affiliation, jornal name or keywords. Social netowrks may provide additional data to support disamibguation models. Conclusion - The traditional objective of name authority files is to determine precisely when name variations belong to the same individual. Manually-maintained authority files have served library catalogues reasonably well, but the burden of upkeep has made them ill-suited to managing the volume of items and authors in all but the smallest I&A databases. To meet the access needs of the 21st century, both catalogues and I&A databases may need to implement options that present a high degree of probability that items have been authored by the same individual, rather than options that provide high precision with the expense of manual maintenance. Striving for name disambiguation rather than name authority control may become an attractive option for catalogues, I&A databses and digital library collections.
Testing bibliometric indicators by their prediction of scientists promotions  [PDF]
Pablo Jensen,Jean-Baptiste Rouquier,Yves Croissant
Physics , 2008, DOI: 10.1007/s11192-007-2014-3
Abstract: We have developed a method to obtain robust quantitative bibliometric indicators for several thousand scientists. This allows us to study the dependence of bibliometric indicators (such as number of publications, number of citations, Hirsch index...) on the age, position, etc. of CNRS scientists. Our data suggests that the normalized h index (h divided by the career length) is not constant for scientists with the same productivity but differents ages. We also compare the predictions of several bibliometric indicators on the promotions of about 600 CNRS researchers. Contrary to previous publications, our study encompasses most disciplines, and shows that no single indicator is the best predictor for all disciplines. Overall, however, the Hirsch index h provides the least bad correlations, followed by the number of papers published. It is important to realize however that even h is able to recover only half of the actual promotions. The number of citations or the mean number of citations per paper are definitely not good predictors of promotion.

WANG Yujun,TIAN Zengping,QU Yunyao,SHI Baile,

软件学报 , 1997,
Abstract: In this paper, the indexing in constraint databases is considered. Meta-blocktree is improved and a data structure S* tree is presented. It stores the stabbing sets forconstants that appears in the intervals. If the maximurn length of each stabbing set is limited, the space used in S* tree is optimal- Compared with M tree, a significant improvement of S* is that it can support delete operation.
On the use of Biplot analysis for multivariate bibliometric and scientific indicators  [PDF]
Daniel Torres-Salinas,Nicolas Robinson-Garcia,Evaristo Jiménez-Contreras,Francisco Herrera,Emilio Delgado López-Cózar
Computer Science , 2013,
Abstract: Bibliometric mapping and visualization techniques represent one of the main pillars in the field of scientometrics. Traditionally, the main methodologies employed for representing data are Multi-Dimensional Scaling, Principal Component Analysis or Correspondence Analysis. In this paper we aim at presenting a visualization methodology known as Biplot analysis for representing bibliometric and science and technology indicators. A Biplot is a graphical representation of multivariate data, where the elements of a data matrix are represented according to dots and vectors associated with the rows and columns of the matrix. In this paper we explore the possibilities of applying the Biplot analysis in the research policy area. More specifically we will first describe and introduce the reader to this methodology and secondly, we will analyze its strengths and weaknesses through three different study cases: countries, universities and scientific fields. For this, we use a Biplot analysis known as JK-Biplot. Finally we compare the Biplot representation with other multivariate analysis techniques. We conclude that Biplot analysis could be a useful technique in scientometrics when studying multivariate data and an easy-to-read tool for research decision makers.
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