A scientometric overview of CORD-19

Colavizza, Giovanni; Costas, Rodrigo; Traag, Vincent; Eck, Nees Jan van; Leeuwen, Thed N. van; Waltman, Ludo

doi:10.1371/journal.pone.0244839

Cited by 73 publications

(93 citation statements)

References 33 publications

(37 reference statements)

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“…The intensive growth of COVID-19 publications has triggered considerable attention from the bibliometrics community. As part of those studies, Colavizza et al (2021) profiled the trending research topics in the early-stage COVID-19 studies to indicate the initial foci of such studies, Chahrour et al (2020) presented descriptive statistics of publication distribution and raised a call for more observational studies and therapeutic trials, Fry et al (2020) revealed how COVID-19 has impacted and reshaped the worldwide scientific collaboration landscape, Zhang et al (2021a) highlighted the disruption and resilience of research topics in coronavirus studies due to the outbreak of COVID-19. Different from other COVID-19 bibliometric studies, the study presented here leverages multiple approaches of intelligent bibliometrics and focuses specifically on the topic of COVID-19 genetic research.…”

Section: Introductionmentioning

confidence: 99%

Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics

Zhang

Grosser³

et al. 2021

Front. Res. Metr. Anal.

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The COVID-19 pandemic constitutes an ongoing worldwide threat to human society and has caused massive impacts on global public health, the economy and the political landscape. The key to gaining control of the disease lies in understanding the genetics of SARS-CoV-2 and the disease spectrum that follows infection. This study leverages traditional and intelligent bibliometric methods to conduct a multi-dimensional analysis on 5,632 COVID-19 genetic research papers, revealing that 1) the key players include research institutions from the United States, China, Britain and Canada; 2) research topics predominantly focus on virus infection mechanisms, virus testing, gene expression related to the immune reactions and patient clinical manifestation; 3) studies originated from the comparison of SARS-CoV-2 to previous human coronaviruses, following which research directions diverge into the analysis of virus molecular structure and genetics, the human immune response, vaccine development and gene expression related to immune responses; and 4) genes that are frequently highlighted include ACE2, IL6, TMPRSS2, and TNF. Emerging genes to the COVID-19 consist of FURIN, CXCL10, OAS1, OAS2, OAS3, and ISG15. This study demonstrates that our suite of novel bibliometric tools could help biomedical researchers follow this rapidly growing field and provide substantial evidence for policymakers’ decision-making on science policy and public health administration.

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Section: Introductionmentioning

confidence: 99%

Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics

Zhang

Grosser³

et al. 2021

Front. Res. Metr. Anal.

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“… 25 That risk can emerge from preprints, 26 peer-reviewed literature, 27 or predatory publishing venues, 28 both open-access or subscription, even more so given the deluge of COVID-19-related literature being published. 29 One new and extremely serious risk in preprints is their silent (complete or partial) withdrawal or retraction from the published public record without any suitable explanation or transparent reason. 30 If such papers were to be peer-reviewed literature, such silent retractions/withdrawals would violate retraction policies by the Committee on Publication Ethics (COPE).…”

Section: Preprints In the Covid-19 Era: Ethical Challengesmentioning

confidence: 99%

Adjusting the use of preprints to accommodate the ‘quality’ factor in response to COVID-19

Silva¹

2021

Journal of Taibah University Medical Sciences

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Preprints are typically crude precursors of peer-reviewed papers that are placed almost immediately, save for some superficial screening, on an open-access repository to allow the information to reach readers quickly, circumventing the long-drawn process typically associated with processing in peer-reviewed journals. For early-career researchers who might be enthusiastic about obtaining some recognition for their efforts, or wanting open and public input about their work, preprints are certainly a useful publication choice. However, if health-related data and information have not been carefully scrutinised, they may pose a risk and may even serve as a source of public health misinformation. Surging growth and competition among preprint servers, coupled with a massive volume of COVID-19-related preprints, mainly on bioRxiv and medRxiv , as well as select indexing now being tested on PubMed, suggests that preprints are being increasingly used in the biomedical sciences. Stronger and more robust ethical policies are needed to screen preprints before they are released to the public, and even if this implies a slight delay in publication, it may increase academics' trust in this form of scientific information and communication. Clear and stringent ethical policies need to be urgently introduced by ethics groups such as COPE and the ICMJE, whose many member journals allow preprints to be posted before traditional peer review. Stringent ethical guidelines that treat misconduct equally in preprints and peer-reviewed papers will boost the integrity of academic publishing.

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“…We beleive that the lack of use of this style is due to the constraints that we have outlined. However, we believe that our underlying argument around data access can be applied also to the production of visualisations such as those offered by VOSviewer, CiteSpace and similar technologies (Chen, 2006;Colavizza et al, 2021).…”

Section: Future Explorationsmentioning

confidence: 99%

Scaling Scientometrics: Dimensions on Google BigQuery as an Infrastructure for Large-Scale Analysis

Hook

Porter

2021

Front. Res. Metr. Anal.

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Cloud computing has the capacity to transform many parts of the research ecosystem, from particular research areas to overall strategic decision making and policy. Scientometrics sits at the boundary between research and the decision-making, policy-making, and evaluation processes that underpin research. One of the biggest challenges in research policy and strategy is having access to data in a way that allows for analysis that can respond in an iterative way to inform decisions. Many decisions are based on “global” measures such as benchmark metrics that are hard to source and hence are often nonspecific or outdated. The use of cloud technologies may be promising in addressing this area of providing data for research strategy and policy decisions. A novel visualisation technique is introduced and used as a means to explore the potential for scaling scientometrics by democratising both access to data and compute capacity using the cloud.

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A scientometric overview of CORD-19

Cited by 73 publications

References 33 publications

Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics

Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics

Adjusting the use of preprints to accommodate the ‘quality’ factor in response to COVID-19

Scaling Scientometrics: Dimensions on Google BigQuery as an Infrastructure for Large-Scale Analysis

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