This paper presents a quantitative study of productivity, characteristics and various aspects of global publication in the field of library and information science (LIS). A total of 894 contributions published in 56 LIS journals indexed in SSCI during the years of 2000-2004 were analyzed. A total of 1361 authors had contributed publications during the five years. The overwhelming majority (89.93%) of them wrote one paper. The average number of authors per paper is 1.52. All the studied papers were published in English. The sum of research output of the authors form USA and UK reaches 70% of the total productivity. Most papers received few citations. Each article received on an average 1.6 citations and the LIS researchers cite mostly latest articles. About 48% of citing authors had tendency of self-citation. The productive authors, their contribution and authorship position are listed to indicate their productivity and degree of involvement in their research publications.
Purpose -The purpose of this paper is to study the author self-citation behavior in four disciplines: electronic engineering, general and internal medicine, organic chemistry and plant sciences. Design/methodology/approach -By using SCI and random stratified method 1,000 articles were analysed as a sample in the four disciplines during 2004-2006. Findings -It was found that about 60 per cent of the articles in the four disciplines' literature contained at least one self-citation. Four disciplines all showed skewed distributions of articles citation rates, either self-citation or other citations. Organic chemistry articles had the highest self-citations than the other disciplines. Share of self-citation decreases with growing time window. The expected selfcitation rate increased with growing number of citation, co-authorship and author productivity. Originality/value -The outcomes of this study suggest that self-citation indicators should be used as supplementary indicators in evaluative bibliometrics.
The paper examines the level of information technology (IT) application in university libraries in Iran. As a background, an attempt was made to present current status of IT application in the libraries. In this study the whole population of 79 university libraries under the jurisdiction of two ministries: Culture and Higher Education (MCHE) and Health, Treatment and Medical Education (HTME), was surveyed. The significant difference between the level of IT application in two library groups, i.e. MCHE and HTME, and the relationship between the level of IT application and the number of computers in use and the annual expenditure on IT, have also been discussed. The paper concluded that the automation of Iranian university libraries is a continuous exercise.
In this work, exchange radioiodination of metaiodobenzylguanidine (MIBG) was carried out at optimum conditions that facilitates the production of [(131) I]MIBG both quickly and efficiently. The radiochemical purity and yield of the labeled product are typically as high as 99% and 90% for diagnostic dose and 95% and 80% for therapeutic dose, respectively. Stability studies show that labeled material at the room temperature met the demand of the clinical application. This labeling procedure will be used in the routine production process of [(131) I]MIBG for diagnosis and treatment uses.
PurposeThe purpose of this article is to present an aggregated methodology for construction of the stop word list in Farsi language and generate a generic Farsi stop word list.Design/methodology/approachThe stop word list is extracted based on: syntactic classes, domain dependent, corpus statistic and expert judgments. Some of the main challenges that arise in the Farsi automatic text processing are outlined as well.FindingsResults from the techniques are aggregated and a general Farsi stop word list containing 927 words is generated.Practical implicationsThe created stop word list can affect the efficiency and effectiveness of retrieval and indexing process in Farsi information retrieval system, moreover, it can play an important role during Farsi text segmentation.Originality/valueOur stop word extraction algorithm is a promising technique; it could be applied into other languages that they have ambiguities in automatic text segmentation.
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