@article{ATM15375,
author = {Giuseppe Lippi and Camilla Mattiuzzi},
title = {Scientist impact factor (SIF): a new metric for improving scientists’ evaluation?},
journal = {Annals of Translational Medicine},
volume = {5},
number = {15},
year = {2017},
keywords = {},
abstract = {Background: The publication of scientific research is the mainstay for knowledge dissemination, but is also an essential criterion of scientists’ evaluation for recruiting funds and career progression. Although the most widespread approach for evaluating scientists is currently based on the H-index, the total impact factor (IF) and the overall number of citations, these metrics are plagued by some well-known drawbacks. Therefore, with the aim to improve the process of scientists’ evaluation, we developed a new and potentially useful indicator of recent scientific output.
Methods: The new metric scientist impact factor (SIF) was calculated as all citations of articles published in the two years following the publication year of the articles, divided by the overall number of articles published in that year. The metrics was then tested by analyzing data of the 40 top scientists of the local University.
Results: No correlation was found between SIF and H-index (r=0.15; P=0.367) or 2 years H-index (r=−0.01; P=0.933), whereas the H-Index and 2 years H-index values were found to be highly correlated (r=0.57; P},
issn = {2305-5847}, url = {https://atm.amegroups.org/article/view/15375}
}