Accuracy of PubMed-based author lists of publications and use of author identifiers to address author name ambiguity: a cross-sectional study

Authors : Paul Sebo, Sylvain de Lucia, Nathalie Vernaz

Objective

To assess the accuracy of PubMed-based author lists of publications and use of author identifiers to address author name ambiguity.

Methods

In this Swiss study conducted in 2019, 300 hospital-based senior physicians were asked to generate a list of their publications in PubMed and complete a questionnaire (type of query used, number of errors in their list of publications, knowledge and use of ORCID and ResearcherID).

Results

156 physicians (52%) agreed to participate, 145 of whom published at least one article (mean number of publications: 60 (SD 73)). Only 17% used the advanced search option. On average, there were 5 articles in the lists that were not co-authored by participants (advanced search: 1.0 (SD 2.6) vs. 5.9 (SD 13.9), p value 0.02) and 3 articles co-authored by participants that did not appear in the lists (advanced search: 1.5 (SD 2.0) vs. 3.6 (SD 8.4), p-value 0.05). Although 82% were aware of ORCID, only 16% added all their articles (39% and 6% respectively for ResearcherID).

Conclusions

When used by senior physicians, the advanced search in PubMed is accurate for retrieving authors’ publications. Author identifiers are only used by a minority of physicians and are therefore not recommended in this context, as they would lead to inaccurate results.

URL : Accuracy of PubMed-based author lists of publications and use of author identifiers to address author name ambiguity: a cross-sectional study

DOI : https://doi.org/10.1007/s11192-020-03845-3

The counting house: measuring those who count. Presence of Bibliometrics, Scientometrics, Informetrics, Webometrics and Altmetrics in the Google Scholar Citations, ResearcherID, ResearchGate, Mendeley & Twitter

Authors : Alberto Martin-Martin, Enrique Orduna-Malea, Juan M. Ayllon, Emilio Delgado Lopez-Cozar

Following in the footsteps of the model of scientific communication, which has recently gone through a metamorphosis (from the Gutenberg galaxy to the Web galaxy), a change in the model and methods of scientific evaluation is also taking place.

A set of new scientific tools are now providing a variety of indicators which measure all actions and interactions among scientists in the digital space, making new aspects of scientific communication emerge.

In this work we present a method for capturing the structure of an entire scientific community (the Bibliometrics, Scientometrics, Informetrics, Webometrics, and Altmetrics community) and the main agents that are part of it (scientists, documents, and sources) through the lens of Google Scholar Citations.

Additionally, we compare these author portraits to the ones offered by other profile or social platforms currently used by academics (ResearcherID, ResearchGate, Mendeley, and Twitter), in order to test their degree of use, completeness, reliability, and the validity of the information they provide.

A sample of 814 authors (researchers in Bibliometrics with a public profile created in Google Scholar Citations was subsequently searched in the other platforms, collecting the main indicators computed by each of them.

The data collection was carried out on September, 2015. The Spearman correlation was applied to these indicators (a total of 31) , and a Principal Component Analysis was carried out in order to reveal the relationships among metrics and platforms as well as the possible existence of metric cluster.

URL : https://arxiv.org/abs/1602.02412