arrow
Return

Bibliometric performance measures

delete1996-07-01
delete183
PRE
AI
N
Narin, F *
H
Hamilton, KS
DOI:10.1007/BF02129596delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Three different types of bibliometrics - literature bibliometrics, patent bibliometrics, and linkage bibliometric can all be used to address various government performance and results questions. Applications of these three bibliometric types will be described within the framework of Weinberg's internal and external criteria, whether the work being done is good science, efficiently and effectively done, and whether it is important science from a technological viewpoint. Within all bibliometrics the fundamental assumption is that the frequency with which a set of papers or patents is cited is a measure of the impact or influence of the set of papers. The literature bibliometric indicators are counts of publications and citations received in the scientific literature and various derived indicators including such phenomena as cross-sectoral citation, coauthorship and concentration within influential journals. One basic observation of literature bibliometrics, which carries over to patent bibliometrics, is that of highly skewed distributions - with a relatively small number of high-impact patents and papers, and large numbers of patents and papers of minimal impact. The key measure is whether an agency is producing or supporting highly cited papers and patents. The final set of data are in the area of linkage bibliometrics, looking at citations from patents to scientific papers. These are particularly relevant to the external criteria, in that it is quire obvious that institutions and supporting agencies whose papers are highly cited in patents are making measurable contributions to a nation's technological progress.
Keywords:
SCIENCE
TECHNOLOGY

Journal

Scientometrics cover
Scientometrics
IF:
3.5
Papers:
8.1K
Citations:
2.2W

Organization

No organization information available
Cited Papers

Cited Papers

err
IF0
err
err0
PREAI
err
errShare
errSave
Nicotine dependence in a prospective population-based study of adolescents
err2004-02-01
err0
PREAI
errRichard JL Anney; Craig A Olsson; Mehrnoush Lotfi-Miri; George C Patton; Robert Williamson
errShare
errSave
Asynchronous optical sampling:a new combustion diagnostic for potential use in turbulent, high-pressure flames
err1989-01-15
err0
PREAI
errG. J. Fiechtner; R. J. Kneisler; F. E. Lytle; Y. Jiang; G. B. King; N. M. Laurendeau
errShare
errSave
IS TECHNOLOGY BECOMING SCIENCE
err1985-03-01
err215
PREAI
errNARIN, F; NOMA, E
errShare
errSave
Population structure of Heterobasidion annosum from North America and Europe
err1993-08-01
err0
PREAI
errWilliam J. Otrosina; Thomas E. Chase; Fields W. Cobb Jr.; Kari Korhonen
errShare
errSave
A New Ensemble Method with Feature Space Partitioning for High-Dimensional Data Classification
err2015-01-01
err0
errOAAI
errYongjun Piao; Minghao Piao; Cheng Hao Jin; Ho Sun Shon; Ji-Moon Chung; Buhyun Hwang; Keun Ho Ryu
errShare
errSave
errShare
errSave
no more