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This study aims to examine publication characteristics and development of a science journal Journal of Membrane Science (JMS) with 35 years ' history by bibliometric indicators.

A bibliometric approach was used to identify its document types, impact factor, publication outputs, most cited articles and large contributing countries/territories and institutions. The main indicators included impact factor, CPP (citations per publication), TC2010 (number of citations from one paper’s publication to the end of 2010), C2010 (number of citations in the year of 2010), number of total articles, “single country articles” and “single institution articles”, “internationally collaborative articles” and “inter-institutionally collaborative articles”, “first author articles” and “corresponding author articles”. The annual citations of most cited articles were displayed in a table list.

The two-year citation window used by impact factor is not fair for a journal which had its peak annual citations in the third or more years. JMS would get a better citation performance if impact factor can be calculated for three or four years. Impact factor is affected by the size of its subject categories. JMS showed higher impact factor rankings in both chemical engineering and polymer science category in the early twenty-first century. Furthermore, the G8 (Canada, France, Germany, Italy, Japan, Russia, the UK and the USA) contributed more than a half of the total, with higher CPP. National University of Singapore, University of Twente and Chinese Academy of Sciences were the main contributing institutions. The citation life cycles revealed the impact history of most cited articles.

A bibliometric analysis has been carried out to analyze the characteristics of a journal with 35 years ' history. Some improved indicators including TC2010, C2010, TP, SP, CP, FP and RP have been used for the evaluation. This study provides an evidence from JMS to discuss the feasibility and limitations of impact factor.

The objective of this study is to conduct a bibliometric indicator and to conduct an analysis of citations per publication of all horizontal gene transfer‐related publications in the Science Citation Index (SCI). A systematic search was performed using the SCI for publications during the period 1991‐2005.

The data were based on the online version of the Science Citation Index (SCI), Web of Science. Analyzed parameters included authorship, patterns of international collaboration, journal, language, document type, number of times cited, author, and KeyWords Plus.

The USA and Germany produced 57 percent of the total articles and 77 percent of the total times cited in three years after publication. In addition, a simulation model was applied to describe the relationship between the cumulative number of citations and the article life.

This is one of the first studies that uses analysis of citations per publication, defined as the ratio of the number of citations per publication in a certain period, to assess the impact relative to the entire field.

This study aims to analyze the productivity patterns of authors in Nigeria using publications indexed in Medline from 2008 to 2012 based on Lotka’s Law. Lotka’s Law of scientific productivity provides a platform for studying inequality in authors’ productivity patterns in a given field and over a specified period.

This study covers all the journal articles on HIV/AIDS pandemic in Nigeria over a period of five years (2008-2012) in Medline, of which 512 articles were reported to have been published during this period. In this paper, 306 articles that had HIV/AIDS in the title, published in 20 journals, and articles that had HIV/AIDS as author keywords were analyzed. Because no local database that indexed biomedical literature from Nigeria was available, Medline was used, which is not only a robust and flexible database that includes articles from Nigeria but is also the largest medical database that indexes over six-and-a-half million articles from 3,400 biomedical journals.

While HIV/AIDS can be considered a global pandemic, Nigeria has the second highest number of new infections reported each year, and an estimated 3.7 per cent of the population is living with the dreaded disease. This study presents a general picture of the distribution of papers as single-author papers, multiple-author papers and the measures of co-authorship. The findings of the study reveal that in the productivity distribution for authors on the subject of HIV/AIDS, only co-authors and non-collaborative authors’ categories fit in the Lotka’s Law, whereas all-authors and first-author categories differ from the distribution of Lotka’s inverse square law.

The empirical evidence used in this paper was based on only articles of HIV/AIDS pandemic in Nigeria that had HIV/AIDS the title. Therefore, the findings of this study might not be the generalized to other biomedical research studies.

The originality of this paper lies in the fact that the productivity pattern of each of the different author categories on the subject of HIV/AIDS is a first of its kind in the Nigerian context.