CiteSpace cascading citation expansion has the potential to improve our understanding of the structure and dynamics of scientific knowledge.

Although the Journal Impact Factor (JIF) is widely acknowledged to be a poor indicator of the quality of individual papers, it is used routinely to evaluate research and researchers. Here, we present a simple method for generating the citation distributions that underlie JIFs. Application of this straightforward protocol reveals the full extent of the skew of these distributions and the variation in citations received by published papers that is characteristic of all scientific journals. Although there are differences among journals across the spectrum of JIFs, the citation distributions overlap extensively, demonstrating that the citation performance of individual papers cannot be inferred from the JIF. We propose that this methodology be adopted by all journals as a move to greater transparency, one that should help to refocus attention on individual pieces of work and counter the inappropriate usage of JIFs during the process of research assessment.

A growing gap exists between an academic sector with little capacity for collective action and increasing demand for routine performance assessment by research organizations and funding agencies. This gap has been filled by database providers. By selecting and distributing research metrics, these commercial providers have gained a powerful role in defining de-facto standards of research excellence without being challenged by expert authority.

Current bibliometric incentives discourage innovative studies and encourage scientists to shift their research to subjects already actively investigated.

LERU's paper discussing the eight pillars of Open Science identified by the European Commission: the future of scholarly publishing, FAIR data, the European Open Science Cloud, education and skills, rewards and incentives, next-generation metrics, research integrity, and citizen science.

A study identifies papers that stand the test of time.  Fewer than two out of every 10,000 scientific papers remain influential in their field decades after publication, finds an analysis of five million articles published between 1980 and 1990.

When citation-based indicators are applied at the institutional or departmental level, rather than at the level of individual papers, surprisingly large correlations with peer review judgments can be observed.

Academia has relied on citation count as the main way to measure the impact or importance of research, informing metrics such as the Impact Factor and the h-index. But how well do these metrics actually align with researchers’ subjective evaluation of impact and significance?

For the USA, this study finds, the entire history of science Noble prizes is described on a per capita basis to an astonishing accuracy by a single large productivity boost decaying at a continuously accelerating rate since its peak in 1972.

For the USA, the entire history of science Noble prizes is described on a per capita basis to an astonishing accuracy by a single large productivity boost decaying at a continuously accelerating rate since its peak in 1972.

Study aims to provide a detailed description of the free version of Dimensions (the new bibliographic database produced by Digital Science). An analysis of its coverage is carried out (comparing it Scopus and Google Scholar) in order to determine whether the bibliometric indicators offered by Dimensions have an order of magnitude significant enough to be used. 

In recent years, increasing media exposure (measured by Altmetrics) did not relate to the equivalent citations as in earlier years; signaling a diminishing return on investment.

Some evidence showing that the more revisions a paper undergoes, the greater its subsequent recognition in terms of citation impact.