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Article
Publication date: 1 January 1995

ALEXANDRA DIMITROFF and KENNING ARLITSCH

The purpose of this study was to determine the rate of self‐citation in the library and information science literature. A sample of 1,058 articles was examined. 50% of the…

169

Abstract

The purpose of this study was to determine the rate of self‐citation in the library and information science literature. A sample of 1,058 articles was examined. 50% of the articles examined contained at least one self‐citation. Articles that were reports of research, that were written by a faculty member, that addressed a theoretical topic, or that had multiple authors were all more likely to have to higher self‐citation rates. The self‐citation rate of 50% was higher than that reported in studies of self‐citation rates in the sciences and social sciences. However, the percentage of self‐citations as related to total citations of 6.6% falls between the percentage reported in the sciences and that reported in other social sciences.

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Journal of Documentation, vol. 51 no. 1
Type: Research Article
ISSN: 0022-0418

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Article
Publication date: 15 July 2014

Jin Zhang, Yiming Zhao and Alexandra Dimitroff

The purpose of this paper is to investigate health care consumers’ diabetes term usage patterns based on Yahoo!Answers social question and answers (Q&A) forum, identified…

1064

Abstract

Purpose

The purpose of this paper is to investigate health care consumers’ diabetes term usage patterns based on Yahoo!Answers social question and answers (Q&A) forum, identified characteristics and relationships among terms within three pairs of related categories identified from the Q&A log, and revealed users’ diabetes term usage patterns.

Design/methodology/approach

The Q&A analysis method allowed first-hand investigation of massive data from health care consumers. Visual term clustering analysis across categories was conducted using a multi-dimensional scaling (MDS) visualization method which provides an intuitive and interactive way to explore and discover term association patterns in a visual environment. Closely related categories were identified and corresponding visual term clustering analyses between categories (Sign & Symptom and Organ & Body Part; Diagnosis and Test; and Diagnosis and Medication) as well at the term level were analyzed.

Findings

The findings show that there are close relationships between terms in two related categories. Related terms were grouped and patterns were revealed. All the stress values of the MDS analyses fall below 0.10 and RSQ for each of the combined categories is over 0.90 which indicate the investigated terms were well clustered in the visual analyses.

Originality/value

The study provides a unique research methodology for similar consumer health research studies. The results of this study offer insight into consumer health term use behavior, and enrich existing thesauri and subject heading lists, enhance diabetes-related web sites or portals, and improve effectiveness of internal search engines.

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Aslib Journal of Information Management, vol. 66 no. 4
Type: Research Article
ISSN: 2050-3806

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Article
Publication date: 1 April 1991

Hannelore B. Rader

The following is an annotated list of materials dealing with information literacy including instruction in the use of information resources, research, and computer skills related…

74

Abstract

The following is an annotated list of materials dealing with information literacy including instruction in the use of information resources, research, and computer skills related to retrieving, using, and evaluating information. This review, the seventeenth to be published in Reference Services Review, includes items, in English published in 1990. A few are not annotated because the compiler could not obtain copies of them for this review.

Details

Reference Services Review, vol. 19 no. 4
Type: Research Article
ISSN: 0090-7324

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