A comparative analysis of publication activity and citation impact based on the core literature in bioinformatics

A novel subject-delineation strategy has been developed for the retrieval of the core literature in bioinformatics. The strategy combines textual components with bibliometric, citation-based techniques. This bibliometrics-aided search strategy is applied to the 1980–2004 annual volumes of the Web of Science. Retrieved literature has undergone a structural as well as quantitative analysis. Patterns of national publication activity, citation impact and international collaboration are analysed for the 1990s and the new millennium.

[1]  Alfonso Valencia,et al.  Early bioinformatics: the birth of a discipline - a personal view , 2003, Bioinform..

[2]  Wolfgang Glänzel,et al.  A bibliometric approach to the role of author self-citations in scientific communication , 2004, Scientometrics.

[3]  Frizo A. L. Janssens,et al.  Clustering of scientific fields by integrating text mining and bibliometrics , 2007 .

[4]  Miguel A. Andrade-Navarro,et al.  Evolving research trends in bioinformatics , 2006, Briefings Bioinform..

[5]  Peter J. Rousseeuw,et al.  Finding Groups in Data: An Introduction to Cluster Analysis , 1990 .

[6]  Wolfgang Glänzel,et al.  Domain Study 'Nanotechnology: Analysis of an Emerging Domain of Scientific and Technological Endeavour' , 2003 .

[7]  Ali S. Hadi,et al.  Finding Groups in Data: An Introduction to Chster Analysis , 1991 .

[8]  Pavel Berkhin,et al.  A Survey of Clustering Data Mining Techniques , 2006, Grouping Multidimensional Data.

[9]  Tibor Braun,et al.  International collaboration in the sciences 1981–1985 , 1990, Scientometrics.

[10]  Tibor Braun,et al.  Relative indicators and relational charts for comparative assessment of publication output and citation impact , 1986, Scientometrics.

[11]  Bart De Moor,et al.  Co-clustering approaches to integrate lexical and bibliographical information , 2005 .

[12]  D. Price.  Little Science, Big Science , 1965 .

[13]  Tibor Braun,et al.  World Flash on Basic Research , 2005, Scientometrics.

[14]  Wolfgang Glänzel,et al.  A relational charting approach to the world of basic research in twelve science fields at the end of the second millennium , 2004, Scientometrics.

[15]  Anil K. Jain,et al.  Algorithms for Clustering Data , 1988 .

[16]  Michel Zitt,et al.  Delineating complex scientific fields by an hybrid lexical-citation method: An application to nanosciences , 2006, Inf. Process. Manag..

[17]  Wolfgang Glänzel,et al.  A new methodological approach to bibliographic coupling and its application to the national, regional and institutional level , 2005, Scientometrics.

[18]  Wolfgang Glänzel,et al.  The influence of author self-citations on bibliometric macro indicators , 2004, Scientometrics.

[19]  Vladimir Batagelj,et al.  Pajek - Analysis and Visualization of Large Networks , 2001, Graph Drawing Software.

[20]  Wolfgang Glänzel,et al.  Towards a Bibliometrics-Aided Data Retrieval for Scientometric Purposes , 2006 .

[21]  Koenraad Debackere,et al.  ‘Triad’ or ‘tetrad’? On global changes in a dynamic world , 2008, Scientometrics.

[22]  Elise Bassecoularda,et al.  A modular sequence of retrieval procedures to delineate a scientific field : from vocabulary to citations and back , 2007 .

[23]  J. S. Katz,et al.  Scale-independent indicators and research evaluation , 2000 .

[24]  Bart De Moor,et al.  Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis , 2007, KDD '07.

[25]  Bart De Moor,et al.  Integration of textual content and link information for accurate clustering of science fields , 2006 .

[26]  Wolfgang Glänzel,et al.  National characteristics in international scientific co-authorship relations , 2004, Scientometrics.