Is the delineation too broad? Does CORD-19 include articles that are not relevant to COVID-19 research? 
- CORD-19-strict subset includes publications that had a match because from searching their title and abstract, they were found to focus on COVID-19 and coronaviruses 
- Found that only a small subset of CORD-19 publications were CORD-19-strict, meaning most publications were not that relevant to COVID-19

Is the delineation too narrow? Are there relevant articles excluded from CORD-19?
- Using the Centre for Science and Technology Studies (CWTS) in-house version of WoS to examine the Science, Social Sciences, Arts & Humanities, and Conference Proceedings Citation Indices to identify relevant publications 
- WoS-strict measure similar to CORD-19 strict publications 
- The majority of publications indexed by WoS overlapped with CORD-19, which meant that there is currently less of a gap between CORD-19 and other databases’ coverage

Delineation of CORD-19

- Dataset containing COVID-19 publications that is updated every day 
- Dataset released to the public to allow researchers to add findings to existing research
- A collaboration with academic institutions and is backed by the US White House

University of Michigan - Ann Arbor

- Analyzed COVID-19 and coronavirus research publications in the CORD-19 database
- The dataset includes publications beyond COVID-19 and coronavirus research, but compared to Web of Science, it is evident that CORD-19 still contains the majority of COVID-19 and coronavirus-related literature 
- Topic modeling demonstrated that research follows specific virus outbreaks and have temporal patterns 
- Citation network clustering showed that there are two significant citation clusters – one that is mainly focused on COVID-19 and another on molecular biology 
- Looking at Altmetric data, it can be concluded that Twitter is the most active social media in terms of mentioning CORD-19 publications, especially regarding most recent literature on COVID-19 

A scientometric overview of CORD-19

Colavizza, G., Costas, R., Traag, V. A., Van Eck, N. J., Van Leeuwen, T., & Waltman, L. (2021). A scientometric overview of CORD-19. PloS one, 16(1), e0244839. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0244839 

COVID-19 Open Research Dataset (CORD-19)

- Used the July 1, 2020 version of CORD-19 that contained 169,821 articles 
- Publications were collected from Medline and PubMed’s PMC open access corpus, WHO database of COVID-19 research articles, and preprints from arXiv, bioRxiv, and medRxiv
- Used Dimensions to study the number of citations and fields of research on publications in CORD-19
- Used WoS data for looking at whether relevant COVID-19 publications are left out of CORD-19

A scientometric overview of CORD-19 data collection

- Focused on 140,302 out of the 169,821 available publications on CORD-19 collected on July 1, 2020, disregarding articles that did not have an DOI, PubMed ID, PubMed Central ID, or arXiv ID 
- Term map
- Topic modeling
- Citation network analysis
- Altmetric analysis

A scientometric overview of CORD-19 data analysis

- Continued mapping of COVID-19-related research 
- Contributing datasets on COVID-19 research to CORD-19 to take advantage of open data sharing
- Online scientific information diffusion through altmetrics or other data sources

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