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Journal Impact Factors for the year-after the next can be objectively predicted

PREDIZENDO FATORES DE IMPACTO: O ANO SEGUINTE PODE SER OBJETIVAMENTE AVALIADO

OBJECTIVE:

To determine whether trends of Journal Impact factor variation can be objectively predicted for the year after next.

METHOD:

Curves for citations/document have been constructed for articles published in the two years previous to the current year (YEAR-1 and YEAR-2) and their citations in the current (unfinished year). Separate curves were constructed for YEAR-1 and YEAR-2. A parameter named INDEX R has been defined. INDEX R was calculated for a randomly selected sample of 100 journals with Impact Factors in the 1 - 3 range.

RESULTS:

INDEX R was found to distribute in a quasi-normal manner, with a borderline adherence to the Gauss distribution (0.10 > p > 0.05). A mean value of 0.60 ± 0.19 was observed.

CONCLUSION:

As a working hypothesis, it is suggested that INDEX R may indicate a trend for the Impact Factor to occur for the year-after (2017), to be published in the summer of 2018.

KEYWORDS:
Impact Factor; bibliometrics; future trends


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