Evaluation of scientific production

NOVA RESEARCH EXPLORER

The NOVA Research Explorer presents the research results of the NOVA (UNL) community.

 

INFORMATION MANAGEMENT OF NMS SCIENTIFIC PRODUCTION  

Since 2010 the Library is the institutional focal point for the collection and validation of scientific publication references of affiliated authors at NOVA Medical School.

The bibliometric sector collects and keeps the data updated through an information management program on scientific research in the several Organic Units of UNL. At institutional level it’s the bibliometric sector of the Library that answers questions and supports research in this context.

 

BIBLIOMETRY

Bibliometrics is the branch of documentation and information science that applies mathematical and statistical analysis to bibliographies, consisting of the statistical analysis of books, journal articles and other publications, i.e., data on publications (articles, citations, collaboration...).

The evaluation of scientific production is fundamental for the recognition of researchers and institutions and is based on bibliometric indicators.

Bibliometrics answers questions such as: Who is citing (how many times) my articles? Which are the best journals in the field of Internal Medicine? In which journal should I publish my work? How to know if a given article is important?

Resources for bibliometric evaluation:

 

ALTMETRICS

Altmetrics are alternative metrics to more traditional ones such as citation-based bibliometric metrics, such as the impact factor. The interest of altmetrics analysis is the scientific dissemination of research results in the context of the social web and its resources, evaluating, for example, mentions in news portals, blogs, social networks, and reference managers. Citations in scientific articles usually occur among scientists (bibliometric indicator) which differs from mentions in a social network.

These are new measures, new ways of measuring impact, based on non-traditional outputs. It is not about replacing traditional metrics, but it can be complementary to the traditional citation analysis.