This study aims to evaluate the 1-year results of a prospective randomized social media trial to determine the effect of tweeting on subsequent citations and non-traditional bibliometrics.

New sources of citation data have recently become available. Although these have been compared to the Web of Science (WoS), Scopus, or Google Scholar, there is no systematic evidence of their differences across subject categories. In response, this paper investigates citations found by these data sources to English-language highly-cited documents published in 2006 from 252 subject categories, expanding and updating the largest previous study.

Citations are ubiquitous in evaluating research, but how exactly they relate to what they are thought to measure is unclear. This article investigates the relationships between citations, quality, and impact using a survey with an embedded experiment.

This paper presents a simple model of the lifecycle of scientific ideas that points to changes in scientist incentives as the cause of scientific stagnation. It explores ways to broaden how scientific productivity is measured and rewarded, involving both academic search engines such as Google Scholar measuring which contributions explore newer ideas and university administrators and funding agencies utilizing these new metrics in research evaluation.

Citation metrics have value because they aim to make scientific assessment a level playing field, but urgent transparency-based changes are necessary to ensure that the data yields an accurate picture. One problematic area is the handling of self-citations.

Citation metrics are widely used and misused. This Community Page article presents a publicly available database that provides standardized information on multiple citation indicators and a composite thereof, annotating each author according to his/her main scientific field(s).

OpenCitations is a scholarly infrastructure organization dedicated to open scholarship and the publication of open bibliographic and citation data as Linked Open Data using Semantic Web technologies, to the development of software tools and services that enable convenient access to these open data, and to community advocacy for open citations. This paper describes OpenCitations and its datasets, tools, services and activities.

The results of this study strongly suggest that when male and female authors publish articles that are comparably positioned to receive citations, their publications do in fact accrue citations at the same rate. This raises the question: Why would gender matter “everywhere but here”? 

Although citations and related metrics like the H-index are widely used in academia to evaluate research and allocate resources, the referencing decisions on which they are based are poorly understood. This paper investigates whether authors reference works that influenced them most or those they believe the readers will value most.

Preprint showing evidence of a steady increase in reciprocity over the years despite a negative correlation between obtaining citations through reciprocity and long-term career success.