Research performance at the micro level: analysis of structure and dynamics of pharmacological research teams

Bordons, María; Zulueta, María Ángeles; Cabrero, A; Barrigón, Santos

doi:10.1093/rev/5.2.137

Cited by 7 publications

(4 citation statements)

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“…This notwithstanding, bibliometric indicators at the micro and particularly at the individual level have a special interest for policy makers and research managers. On the one hand, they are a helpful support tool for the assessment of the research performance of scientists (evaluative purposes) and, on the other hand, they are useful for the study of the scientific behavior of researchers (descriptive purposes) because they allow us to detect different working strategies (Nederhof, 2008), identify research teams or invisible colleges (Bordons, Zulueta, Cabrero, & Barrigón, 1995) and explore the determinants of research success (Hornbostel, Bohmer, Klinsporn, Neufeld, & von Ins, 2009; Licea de Arenas, Valles, & Arenas, 1999).…”

Section: Discussionmentioning

confidence: 99%

A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact

Costas¹,

Leeuwen²,

Bordons³

2010

J. Am. Soc. Inf. Sci.

127

139

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This paper sets forth a general methodology for conducting bibliometric analyses at the micro level. It combines several indicators grouped into three factors or dimensions which characterize different aspects of scientific performance. Different profiles or "classes" of scientists are described according to their research performance in each dimension. A series of results based on the findings from the application of this methodology to the study of CSIC scientists in Spain in three thematic areas are presented. Special emphasis is made on the identification and description of top scientists from structural and bibliometric perspectives. The effects of age on the productivity and impact of the different classes of scientists are analyzed. The classificatory approach proposed herein may prove a useful tool in support of research assessment at the individual level and for exploring potential determinants of research success.

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Section: Discussionmentioning

confidence: 99%

A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact

Costas¹,

Leeuwen²,

Bordons³

2010

J. Am. Soc. Inf. Sci.

127

139

View full text Add to dashboard Cite

show abstract

“…Among bibliometric analysis, micro-level approaches present a high policy interest. Not only are they useful for supporting research assessment processes (Sandström and Sandström 2009 ) but also as tools for the study of the behavior of researchers, their publication strategies, their organization in teams (Bordons et al 1995a , b ), etc. In this sense, the study of scientific production at the individual level offers highly valuable information for a much better understanding of the scientific processes in general.…”

Section: Introductionmentioning

confidence: 99%

The “Mendel syndrome” in science: durability of scientific literature and its effects on bibliometric analysis of individual scientists

2011

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The obsolescence and “durability” of scientific literature have been important elements of debate during many years, especially regarding the proper calculation of bibliometric indicators. The effects of “delayed recognition” on impact indicators have importance and are of interest not only to bibliometricians but also among research managers and scientists themselves. It has been suggested that the “Mendel syndrome” is a potential drawback when assessing individual researchers through impact measures. If publications from particular researchers need more time than “normal” to be properly acknowledged by their colleagues, the impact of these researchers may be underestimated with common citation windows. In this paper, we answer the question whether the bibliometric indicators for scientists can be significantly affected by the Mendel syndrome. Applying a methodology developed previously for the classification of papers according to their durability (Costas et al., J Am Soc Inf Sci Technol 61(8):1564–1581, 2010a; J Am Soc Inf Sci Technol 61(2):329–339, 2010b), the scientific production of 1,064 researchers working at the Spanish Council for Scientific Research (CSIC) in three different research areas has been analyzed. Cases of potential “Mendel syndrome” are rarely found among researchers and these cases do not significantly outperform the impact of researchers with a standard pattern of reception in their citations. The analysis of durability could be included as a parameter for the consideration of the citation windows used in the bibliometric analysis of individuals.

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“…Any number of bibliometric and scientometric studies stand as proof of the growing interest in the microanalysis of research activity, focusing on the research group level (Bordons et al 1995b;Bordons and Zulueta 1997;. This has been largely due to the fact that guidelines for the concentration of research are among the priorities of scientific policy, in particular measures relating to research management and organization.…”

Section: Introductionmentioning

confidence: 99%

Detecting, identifying and visualizing research groups in co-authorship networks

2009

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The present paper proposes a method for detecting, identifying and visualizing research groups. The data used refer to nine Carlos III University of Madrid departments, while the findings for the Communication Technologies Department illustrate the method. Structural analysis was used to generate co-authorship networks. Research groups were identified on the basis of factorial analysis of the raw data matrix and similarities in the choice of co-authors. The resulting networks distinguished the researchers participating in the intra-departmental network from those not involved and identified the existing research groups. Fields of research were characterized by the Journal of Citation Report subject category assigned to the bibliographic references cited in the papers written by the authorfactors. The results, i.e., the graphic displays of the structures of the socio-centric and coauthorship networks and the strategies underlying collaboration among researchers, were later discussed with the members of the departments analyzed. The paper constitutes a starting point for understanding and characterizing networking within research institutions.

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Research performance at the micro level: analysis of structure and dynamics of pharmacological research teams

Cited by 7 publications

References 0 publications

A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact

A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact

The “Mendel syndrome” in science: durability of scientific literature and its effects on bibliometric analysis of individual scientists

Detecting, identifying and visualizing research groups in co-authorship networks

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