Catégories
EN

Is rapid scientific publication also high quality? Bibliometric analysis of highly disseminated COVID-19 research papers

Authors : Amandeep Khatter, Michael Naughton, Hajira Dambha-Miller, Patrick Redmond

The impact of COVID-19 has underlined the need for reliable information to guide clinical practice and policy. This urgency has to be balanced against disruption to journal handling capacity and the continued need to ensure scientific rigour.

We examined the reporting quality of highly disseminated COVID-19 research papers using a bibliometric analysis examining reporting quality and risk of bias (RoB) amongst 250 top scoring Altmetric Attention Score (AAS) COVID-19 research papers between January and April 2020.

Method-specific RoB tools were used to assess quality. After exclusions, 84 studies from 44 journals were included. Forty-three (51%) were case series/studies, and only one was an randomized controlled trial.

Most authors were from institutions based in China (n = 44, 52%). The median AAS and impact factor was 2015 (interquartile range [IQR] 1,105–4,051.5) and 12.8 (IQR 5–44.2) respectively. Nine studies (11%) utilized a formal reporting framework, 62 (74%) included a funding statement, and 41 (49%) were at high RoB.

This review of the most widely disseminated COVID-19 studies highlights a preponderance of low-quality case series with few research papers adhering to good standards of reporting. It emphasizes the need for cautious interpretation of research and the increasingly vital responsibility that journals have in ensuring high-quality publications.

URL : Is rapid scientific publication also high quality? Bibliometric analysis of highly disseminated COVID-19 research papers

DOI : https://doi.org/10.1002/leap.1403

Catégories
EN

Methodological quality of COVID-19 clinical research

Authors : Richard G. Jung, Pietro Di Santo, Cole Clifford, Graeme Prosperi-Porta, Stephanie Skanes, Annie Hung, Simon Parlow, Sarah Visintini, F. Daniel Ramirez, Trevor Simard & Benjamin Hibbert

The COVID-19 pandemic began in early 2020 with major health consequences. While a need to disseminate information to the medical community and general public was paramount, concerns have been raised regarding the scientific rigor in published reports.

We performed a systematic review to evaluate the methodological quality of currently available COVID-19 studies compared to historical controls. A total of 9895 titles and abstracts were screened and 686 COVID-19 articles were included in the final analysis.

Comparative analysis of COVID-19 to historical articles reveals a shorter time to acceptance (13.0[IQR, 5.0–25.0] days vs. 110.0[IQR, 71.0–156.0] days in COVID-19 and control articles, respectively; p < 0.0001).

Furthermore, methodological quality scores are lower in COVID-19 articles across all study designs. COVID-19 clinical studies have a shorter time to publication and have lower methodological quality scores than control studies in the same journal. These studies should be revisited with the emergence of stronger evidence.

URL : Methodological quality of COVID-19 clinical research

DOI : https://doi.org/10.1038/s41467-021-21220-5

Catégories
EN

Comparing quality of reporting between preprints and peer-reviewed articles in the biomedical literature

Authors : Clarissa F. D. Carneiro, Victor G. S. Queiroz, Thiago C. Moulin, Carlos A. M. Carvalho, Clarissa B. Haas, Danielle Rayêe, David E. Henshall, Evandro A. De-Souza, Felippe Espinelli, Flávia Z. Boos, Gerson D. Guercio, Igor R. Costa, Karina L. Hajdu, Martin Modrák, Pedro B. Tan, Steven J. Burgess, Sylvia F. S. Guerra, Vanessa T. Bortoluzzi, Olavo B. Amara

Preprint usage is growing rapidly in the life sciences; however, questions remain on the relative quality of preprints when compared to published articles. An objective dimension of quality that is readily measurable is completeness of reporting, as transparency can improve the reader’s ability to independently interpret data and reproduce findings.

In this observational study, we compared random samples of articles published in bioRxiv and in PubMed-indexed journals in 2016 using a quality of reporting questionnaire. We found that peer-reviewed articles had, on average, higher quality of reporting than preprints, although this difference was small.

We found larger differences favoring PubMed in subjective ratings of how clearly titles and abstracts presented the main findings and how easy it was to locate relevant reporting information.

Interestingly, an exploratory analysis showed that preprints with figures and legends embedded within text had reporting scores similar to PubMed articles.

These differences cannot be directly attributed to peer review or editorial processes, as manuscripts might already differ before submission due to greater uptake of preprints by particular research communities.

Nevertheless, our results show that quality of reporting in preprints in the life sciences is within a similar range as that of peer-reviewed articles, albeit slightly lower on average, supporting the idea that preprints should be considered valid scientific contributions.

An ongoing second phase of the project is comparing preprints to their own published versions in order to more directly assess the effects of peer review.

URL : Comparing quality of reporting between preprints and peer-reviewed articles in the biomedical literature

DOI : https://doi.org/10.1101/581892

Catégories
EN

Do altmetrics work for assessing research quality?

Authors : Andrea Giovanni Nuzzolese, Paolo Ciancarini, Aldo Gangemi, Silvio Peroni, Francesco Poggi, Valentina Presutti

Alternative metrics (aka altmetrics) are gaining increasing interest in the scientometrics community as they can capture both the volume and quality of attention that a research work receives online.

Nevertheless, there is limited knowledge about their effectiveness as a mean for measuring the impact of research if compared to traditional citation-based indicators.

This work aims at rigorously investigating if any correlation exists among indicators, either traditional (i.e. citation count and h-index) or alternative (i.e. altmetrics) and which of them may be effective for evaluating scholars.

The study is based on the analysis of real data coming from the National Scientific Qualification procedure held in Italy by committees of peers on behalf of the Italian Ministry of Education, Universities and Research.

URL : https://arxiv.org/abs/1812.11813