Studying the accumulation velocity of altmetric data tracked by Altmetric.com

Fang, Zhichao; Costas, Rodrigo

doi:10.1007/s11192-020-03405-9

Cited by 59 publications

(44 citation statements)

References 46 publications

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“…Fig 9 presents term maps showing the altmetrics reception of CORD-19 publications. We cover the most immediate social media sources (or ‘fast’ sources [ 37 ]), which provide the earliest signals of the reception of publications. Twitter, blogs and news media all present a similar pattern, with a strong orientation towards the most recent COVID-19 publications, well captured by the largest cluster in both the bottom level and the top level citation network clustering (see Figs 7a and 8a ).…”

Section: Analysis Of Cord-19mentioning

confidence: 99%

A scientometric overview of CORD-19

et al. 2021

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As the COVID-19 pandemic unfolds, researchers from all disciplines are coming together and contributing their expertise. CORD-19, a dataset of COVID-19 and coronavirus publications, has been made available alongside calls to help mine the information it contains and to create tools to search it more effectively. We analyse the delineation of the publications included in CORD-19 from a scientometric perspective. Based on a comparison to the Web of Science database, we find that CORD-19 provides an almost complete coverage of research on COVID-19 and coronaviruses. CORD-19 contains not only research that deals directly with COVID-19 and coronaviruses, but also research on viruses in general. Publications from CORD-19 focus mostly on a few well-defined research areas, in particular: coronaviruses (primarily SARS-CoV, MERS-CoV and SARS-CoV-2); public health and viral epidemics; molecular biology of viruses; influenza and other families of viruses; immunology and antivirals; clinical medicine. CORD-19 publications that appeared in 2020, especially editorials and letters, are disproportionately popular on social media. While we fully endorse the CORD-19 initiative, it is important to be aware that CORD-19 extends beyond research on COVID-19 and coronaviruses.

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Section: Analysis Of Cord-19mentioning

confidence: 99%

A scientometric overview of CORD-19

et al. 2021

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“…This result, on the one hand, highlights the importance of academic indicators of impact such as citations, and on the other hand suggests the possible complementarity of altmetrics in this respect. Since certain altmetrics can accumulate more rapidly than citations [15], they could complement them effectively when needed [27]. Furthermore, the expert ratio in altmetrics engagement is negatively correlated with being cited from Wikipedia in 2020.…”

Section: Discussionmentioning

confidence: 99%

COVID-19 research in Wikipedia

Colavizza

2020

Preprint

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Wikipedia is one of the main sources of free knowledge on the Web. During the first few months of the pandemic, over 4,500 new Wikipedia pages on COVID-19 have been created and have accumulated close to 250M pageviews by early April 2020. 1 At the same time, an unprecedented amount of scientific articles on COVID-19 and the ongoing pandemic have been published online. Wikipedia's contents are based on reliable sources, primarily scientific literature. Given its public function, it is crucial for Wikipedia to rely on representative and reliable scientific results, especially so in a time of crisis. We assess the coverage of COVID-19-related research in Wikipedia via citations. We find that Wikipedia editors are integrating new research at an unprecedented fast pace. While doing so, they are able to provide a largely representative coverage of COVID-19related research. We show that all the main topics discussed in this literature are proportionally represented from Wikipedia, after accounting for article-level effects. We further use regression analyses to model citations from Wikipedia and show that, despite the pressure to keep up with novel results, Wikipedia editors rely on literature which is highly cited, widely shared on social media, and has been peer-reviewed.

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“…Figure 9 presents term maps showing the altmetrics reception of CORD-19 publications. We cover the most immediate social media sources (or ‘fast’ sources [13]), which provide the earliest signals of the reception of publications. Twitter, blogs and news media all present a similar pattern, with a strong orientation towards the most recent COVID-19 publications, well captured by the largest cluster in both the bottom level and the top level citation network clustering (see Figures 7a and 8a).…”

Section: Analysis Of Cord-19mentioning

confidence: 99%

A scientometric overview of CORD-19

Colavizza

Costas

Traag

et al. 2020

Preprint

Self Cite

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As the COVID-19 pandemic unfolds, researchers from all disciplines are coming together and contributing their expertise. CORD-19, a dataset of COVID-19 and coronavirus publications, has recently been published alongside calls to help mine the information it contains, and to create tools to search it more effectively. Here, we focus on the delineation of the publications included in CORD-19, and analyse this delineation from a scientometric perspective. We find that CORD-19 contains research not only on COVID-19 and coronaviruses, but on viruses in general. Publications from CORD-19 mostly focus on a few, well-defined areas, including: coronaviruses (primarily SARS, MERS, COVID-19); public health and viral epidemics; the molecular biology of viruses; influenza and other families of viruses; immunology and antivirals; methodology (testing, diagnosing, clinical trials). CORD-19 publications published in 2020, especially focused on topics of pressing relevance (spread, infection, efficacy of counter-measures), are disproportionately popular on social media. While we fully endorse the initiative that led to CORD-19, we also advise to consider its relatively broad content critically.

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Studying the accumulation velocity of altmetric data tracked by Altmetric.com

Cited by 59 publications

References 46 publications

A scientometric overview of CORD-19

A scientometric overview of CORD-19

COVID-19 research in Wikipedia

A scientometric overview of CORD-19

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