Covid-19 publications
Database coverage, citations, readers, tweets, news, Facebook walls, Reddit posts
Bibliographic Data
| ID | 21256060 |
|---|---|
| Authors | Kayvan Kousha (0000-0003-4827-971X, University of Wolverhampton), Mike Thelwall (0000-0001-6065-205X, University of Wolverhampton) |
| Year | 2020 |
| Volume | 1 |
| Issue | 3 |
| Pages | 1068-1091 |
| Publication date | 2020-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Quantitative Science Studies (JOURNAL) |
| Journal identifiers | ISSN: 2641-3337 • E-ISSN: 2641-3337 |
| Publisher | MIT Press (PUBLISHER • US) |
| DOI | 10.1162/qss_a_00066 |
| OpenAlex | W3029581652 |
| Language | EN |
| Citations received | 28 |
| References cited | 49 |
The COVID-19 pandemic requires a fast response from researchers to help address biological, medical, and public health issues to minimize its impact. In this rapidly evolving context, scholars, professionals, and the public may need to identify important new studies quickly. In response, this paper assesses the coverage of scholarly databases and impact indicators during March 21, 2020 to April 18, 2020. The rapidly increasing volume of research is particularly accessible through Dimensions, and less through Scopus, the Web of Science, and PubMed. Google Scholar’s results included many false matches. A few COVID-19 papers from the 21,395 in Dimensions were already highly cited, with substantial news and social media attention. For this topic, in contrast to previous studies, there seems to be a high degree of convergence between articles shared in the social web and citation counts, at least in the short term. In particular, articles that are extensively tweeted on the day first indexed are likely to be highly read and relatively highly cited 3 weeks later. Researchers needing wide scope literature searches (rather than health-focused PubMed or medRxiv searches) should start with Dimensions (or Google Scholar) and can use tweet and Mendeley reader counts as indicators of likely importance
Citation · Data science · Internet privacy · MEDLINE · Pandemic · Political science · Scopus · Social media · Web of science · World Wide Web · Academic Publishing and Open Access · Computer Science · History · Medicine · Misinformation and Its Impacts · scientometrics and bibliometrics research
Social Distancing and the Deficit of Presence (a Philosophical Reflection on the Covid-19 Pandemic)
La investigación en periodismo y covid-19 en España
Analyzing knowledge entities about Covid-19 using entitymetrics
Science communicators, flat-earthers, or fitness coaches
Covid-19 knowledge deconstruction and retrieval
Covid-19 enabled co-authoring networks
Search where you will find most
The high scholarly value of grey literature before and during Covid-19
Covid-19 and the scientific publishing system
Impact of Covid-19 on research output by gender across countries
The impact of scientific articles on Chinese social media
Are automated accounts driving scholarly communication on Twitter? a case study of dissemination of Covid-19 publications
Examining scholarly communication on X (Twitter)
Using altmetrics for detecting impactful research in quasi-zero-day time-windows
Do Science Kardashians Get Citation Premium? Self‐Fulfilling Effects of Social Media on Scientific Impact
Validation of the Covid-19 Disbelief Scale
Covid-19 research in Wikipedia
Unreviewed science in the news
Coronavirus research before 2020 is more relevant than ever, especially when interpreted for Covid-19
Bip4covid19
Second-order citations in altmetrics
Covid-19 refereeing duration and impact in major medical journals
On the Coevolution Between Social Network Structure and Diffusion of the Coronavirus (Covid-19) in Spatial Compartmental Epidemic Models
Altmetrics can capture research evidence
Reporting preprints in the media during the Covid-19 pandemic
Limits and Paradoxes of Accelerating Research. A Retrospective on the Attempts to Accelerate Medical Research on Covid-19
Who Controls the National Academic Promotion System
Who is mentioning Covid-19 articles on twitter? Classifying twitter users in the context of scholarly communication
Characterizing Social Media Metrics of Scholarly Papers
Online collaboration
Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective
A general theory of bibliometric and other cumulative advantage processes
Do Altmetrics Work? Twitter and Ten Other Social Web Services
Dimensions
The reporting of the risks from severe acute respiratory syndrome (Sars) in the news media, 2003–2004
Dimensions
New data, new possibilities
A Longitudinal Study of the New York Times Science Times Section
| Citations per year | 4.67 |
|---|---|
| Citation span | 2020 - 2026 (7) |
| Highly cited | No |