Authors:Ming-Yueh Tsay, Shiow-Jen Jou, and Sheau-Shin Ma
Semiconductor is the key element for information industry. The present study investigated the growth of semiconductor literature based on the database of INSPEC. Well-established bibliometric techniques, such as Bradford-Zipf's plot and Lotka's law have been employed to further explore the characteristics of semiconductor literature. Quantitative results on the literature growth, form of publication, research treatment, publishing country and language, author productivity and affiliate are reported. Moreover, from the Bradford-Zipf's plot, 25 core journals in semiconductor were identified and analyzed.
Methodological implications of four accounting procedures applied in multiple authorship treatment relating to author productivity distribution were investigated. The emphasis was given to the individual author rank and inequality pattern of data. It was found that similar pattern of inequality holds in three of the four analysed cases, in spite of the fact that significant changes were observed on the individual level. By introducing the concept of dual approach a plausible interpretation of that phenomenon was obtained.
Objective This paper aimed to examine the reliability of co-citation clustering analysis in representing the research history of subject
by comparing the results from co-citation clustering analysis with a review written by authorities.
Methods Firstly, the treatment of traumatic spinal cord injury was chosen as an investigated subject to be retrieved the resource
articles and their references were downloaded from Science Citation Index CD-ROM between 1992 and 2002. Then, the highly cited
papers were arranged chronologically and clustered with the method of co-citation clustering. After mapping the time line
visualization, the history and structure of treatment of spinal cord injury were presented clearly. At last, the results and
the review were compared according the time period, and then the recall and the precision were calculated.
Results The recall was 37.5%, and the precision was 54.5%. The research history of traumatic spinal cord injury treatment analyzed
by co-citation clustering was nearly consistent with authoritative review, although some clusters had shorter period than
which was summarized by professionals.
Conclusion This paper concluded that co-citation clustering analysis was a useful method in representing the research history of subject,
especially for the information researchers, who do not have enough professional knowledge. Its demerit of low recall could
be offset by combination this method with other analytic techniques.
Authors:Ana Andrés, Juana Gómez, and Carmina Saldaña
The Transtheoretical Model of behaviour change is currently one of the most promising models in terms of understanding and
promoting behaviour change related to the acquisition of healthy living habits. By means of a bibliographic search of papers
adopting a TTM approach to obesity, the present bibliometric study enables the scientific output in this field to be evaluated.
The results obtained reveal a growing interest in applying this model to both the treatment of obesity and its prevention.
Otherwise, author and journal outputs fit the models proposed by Lotka and Bradford, respectively.
Four pairs of articles provide a framework for the bibliometric analysis of presentations of scientific findings to non-specialist audiences. One member of each pair is a professional-level review article; the other is its counterpart as published inScientific American. Two of the pairs were published in the mid-1960's and two pairs were published in the mid-1980's. The pace and scope of popular reportage improved over the twenty-year span but the readability index for popular treatments suggests that there are stil serious barriers to mass audience consumption. Examination of the personal references in the popular presentations reveals linkage patterns that are analogous to those found by citation and co-citation analyses.
A new bibliometric method is proposed for representing links between subfields as defined by a classification scheme. The frequency of co-occurrence of articles from different subfields in selected journals is used for measuring the degree of relatedness between these subfields. The results of such quantitative analysis could be compared to the tree topology of the classification network established in a qualitative analysis. The method is applied to describe the internal links within the field of condensed matter physics using the 1984 Physics Abstracts database. A distinction is made between experimental and theoretical links on the basis of treatment codes assigned to journal articles. The links described by cluster analysis are matched against the cross-reference network of the International Classification for Physics.
An examination was conducted of the distributions produced by historical treatments of three scientific specialties: quantum mechanics, plate tectonics, and endocrinology. A citation analysis approach was employed to generate a frequency distribution for year of publication of literature referenced by historians. The observed values were normalized and tested for goodness of fit to each other using a Pearson goodness of fit test. The results indicated that the three distributions were not equivalent. Other parameters of the three distributions did show similarities using aDunn planned comparison approach. The skewness of the three distributions was very similar and plate tectonics and endocrinology were similar in terms of kurtosis. The major conclusion reached was that there were major differences in the three distributions but some similarities in particular parameters were evident. Additional work is necessary to determine causal factors for the differences as well as similarities.
A mathematical treatment is given for the family of scientometric laws (usually referred to as the Zipf-Pareto law) that have been described byPrice and do not conform with the usual Gaussian view of empirical distributions. An analysis of the Zipf-Pareto law in relationship with stable non Gaussian distributions. An analysis of the Zipf-Pareto law in relationship with stable non Gaussian distributions reveals, in particular, that the truncated Cauchy distribution asymptotically coincides with Lotka's law, the most well-known frequency form of the Zipf-Pareto law. The mathematical theory of stable non Gaussian distributions, as applied to the analysis of the Zipf-Pareto law, leads to several conclusions on the mechanism of their genesis, the specific methods of processing empirical data, etc. The use of non-Gaussian processes in scientometric models suggests that this approach may result in a general mathematical theory describing the distribution of science related variables.
In all fields of human sciences there has long been a debate whether research of these fields should closely follow the traditional method with accurate measurements and statistical inference. More qualitative approaches have been proposed, by which is ment that the research aim is to use the data in their qualitative form. The purpose of this study was to describe the differences in citations between qualitative and quantitative empirical reports. A total of 262 published reports of research pertaining to the therapeutic community and psychiatric wards in a variety of treatment settings from 1987 to 1992 were analyzed. The main finding of this study was that quantitative reports were more frequently cited than qualitative ones — also when some confounding factors were controlled.