Literature DB >> 16610196

[Title, abstract and keywords: essential issues in medical bibliographic research].

Carmen Bonciu1.   

Abstract

UNLABELLED: Medical information, conveyed either by books, journal articles, conference and congress papers or posters, represents the product, the result of the medical research. Note that the informational cycle can be shown schematically as Bibliographic information --> Medical research --> Research results --> Bibliographic information. The result of the scientific research (articles, posters, etc.) re-enters the informational cycle, as bibliographic information for a new medical research. The bibliographic research is still a time, and effort consuming activity, despite the explosive growth of information technology. It requires specific medical, information technology and bibliographic knowledge. AIM: The present work aims to emphasize the importance of title, keywords and abstract terms selection, to article writing and publication in medical journals, and the proper choice of meta-information in web pages.
MATERIAL AND METHODS: The bibliographic research was made using two databases with English language information about articles from international medical journals: MEDLINE (PUBMED) and PROQUEST MEDICAL LIBRARY. The results were compared with GOOGLE and YAHOO search. These searching engines are common now in all types of Internet users (including researchers, librarians, etc.).
CONCLUSIONS: It is essential for the researchers to know the article registration mechanism in a database and the modalities of bibliographic investigation of online databases, so that the title, keyword and abstract terms are selected properly. The use of words not related to the subject, in title, keywords or abstract, results in ambiguities. The writing and the translation of scientific words must also be accurate, mainly when article authors are non-native English speakers: e.g., chimiotherapy (sic)--20 articles in Medline, 270 articles in Google; morphopathology (sic)-- 78 articles in Medline, and 294 in Google; morphopatology (sic)--2 articles in Medline, and 12 articles in Google.

Mesh:

Year:  2005        PMID: 16610196

Source DB:  PubMed          Journal:  Rev Med Chir Soc Med Nat Iasi        ISSN: 0048-7848


  1 in total

1.  Trend and prediction of citations on the topic of neuromuscular junctions in 100 top-cited articles since 2001 using a temporal bar graph: A bibliometric analysis.

Authors:  Jian-Wei Wu; Yu-Hua Yan; Tsair-Wei Chien; Willy Chou
Journal:  Medicine (Baltimore)       Date:  2022-10-07       Impact factor: 1.817

  1 in total

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