Dynamics of Journal Impact Factors

Groesser, Stefan N.

doi:10.1002/sres.2142

Cited by 17 publications

(15 citation statements)

References 46 publications

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“…However, it seems that increases in IF are not evenly distributed with some journals getting a disproportionally larger share of the IF growth leading to changes in the potential impact of these journals [13], [14]. Our results indicate that journals with an overall higher percentage of SDMr, but specially those with more articles on climate change topics have grown at relatively faster rates than others [15].…”

Section: Discussionmentioning

confidence: 91%

Species Distribution Models and Impact Factor Growth in Environmental Journals: Methodological Fashion or the Attraction of Global Change Science

Brotons

2014

PLoS ONE

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In this work, I evaluate the impact of species distribution models (SDMs) on the current status of environmental and ecological journals by asking the question to which degree development of SDMs in the literature is related to recent changes in the impact factors of ecological journals. The hypothesis evaluated states that research fronts are likely to attract research attention and potentially drive citation patterns, with journals concentrating papers related to the research front receiving more attention and benefiting from faster increases in their impact on the ecological literature. My results indicate a positive relationship between the number of SDM related articles published in a journal and its impact factor (IF) growth during the period 2000–09. However, the percentage of SDM related papers in a journal was strongly and positively associated with the percentage of papers on climate change and statistical issues. The results support the hypothesis that global change science has been critical in the development of SDMs and that interest in climate change research in particular, rather than the usage of SDM per se, appears as an important factor behind journal IF increases in ecology and environmental sciences. Finally, our results on SDM application in global change science support the view that scientific interest rather than methodological fashion appears to be the major driver of research attraction in the scientific literature.

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Section: Discussionmentioning

confidence: 91%

Species Distribution Models and Impact Factor Growth in Environmental Journals: Methodological Fashion or the Attraction of Global Change Science

Brotons

2014

PLoS ONE

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“…For a journal editor, increasing a journal's impact factor may be an important objective [10]. Journal editors often publish editorials and letters in which they explain that one of their main goals is to maintain or improve their JIF or their journal's rank position in JCR [11,12].…”

Section: Introduction and Objectivesmentioning

confidence: 99%

Journals that Rise from the Fourth Quartile to the First Quartile in Six Years or Less: Mechanisms of Change and the Role of Journal Self-Citations

Campanario

2018

Publications

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Journal self-citations may be increased artificially to inflate a journal’s scientometric indicators. The aim of this study was to identify possible mechanisms of change in a cohort of journals that rose from the fourth (Q4) to the first quartile (Q1) over six years or less in Journal Citation Reports (JCR), and the role of journal self-citations in these changes. A total of 51 different journals sampled from all JCR Science Citation Index (SCI) subject categories improved their rank position from Q4 in 2009 to Q1 in any year from 2010 to 2015. I identified changes in the numerator or denominator of the Journal Impact Factor (JIF) that were involved in each year-to-year transition. The main mechanism of change was the increase in the number of citations used to compute the JIF. The effect of journal self-citations in the increase of the JIF was studied. The main conclusion is that there was no evidence of widespread JIF manipulation through the overuse of journal self-citations.

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“…It is an important resource for identifying which areas need greater concern and attention (Laurindo and Mafra, 2010). Scientometrics is a relevant field, highlighting quantitative aspects related to generation, propagation and use of scientific information of a country, scientific community, or institutions (Groesser, 2012;Gupta, 2012). It also contributes to identify trends and the development of knowledge (Spinak, 1998).…”

Section: Introductionmentioning

confidence: 99%

Research Article Scientometric analysis: Five years of genetic polymorphisms

Barbosa¹,

Silva²,

Lagares³

et al. 2018

Genet. Mol. Res.

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ABSTRACT.Scientometrics is a quantitative evaluation of scientific and technological activities. The main objective is to point the number of methodologies used in scientific studies or even the structure of several research centers. This type of metric study belongs to the area of sociology of scientific knowledge. It covers quantitative analyzes of scientific activities through the use of mathematical and statistical techniques for the development of the study. A literature review was conducted using the Genetics and Molecular Research (GMR) database. GMR is a fully electronic journal available at no cost to readers through the Internet at http://www.geneticsmr.org. We performed a quantitative analysis regarding genetic polymorphisms on the GMR scientific production between 2009 and 2013. We used the keywords polymorphism AND genetics OR molecular marker in order to conduct the literature survey. We found 423 articles related to genetic polymorphism and 87% were original articles. Six countries account for about 89% of publications and China is responsible for 56% of all publications. Moreover, the number of papers grew each year, from 3.8% in 2009 up to 35.5% in 2013. The organisms most studied in those articles were humans (61.2%). Techniques such as sequencing, RFLP (Restriction Fragment Length Polymorphism), SSCP (single-strand conformational polymorphism), RAPD (random amplified polymorfic DNA) and Multiplex were used, and these methods and their validation are efficient in the study of gene polymorphisms. Moreover, polymerase chain reaction (PCR) is the technique most used in the field of genetic polymorphisms (74%).

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Dynamics of Journal Impact Factors

Cited by 17 publications

References 46 publications

Species Distribution Models and Impact Factor Growth in Environmental Journals: Methodological Fashion or the Attraction of Global Change Science

Species Distribution Models and Impact Factor Growth in Environmental Journals: Methodological Fashion or the Attraction of Global Change Science

Journals that Rise from the Fourth Quartile to the First Quartile in Six Years or Less: Mechanisms of Change and the Role of Journal Self-Citations

Research Article Scientometric analysis: Five years of genetic polymorphisms

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