2021
DOI: 10.1038/s41591-020-01203-7
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Automated screening of COVID-19 preprints: can we help authors to improve transparency and reproducibility?

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Cited by 49 publications
(53 citation statements)
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“…If submissions continue to grow, there will be a need to develop automated tools to help screen preprints so that this burden does not become overwhelming to the volunteer researchers. We are seeing early steps in this space with the use of SciScore and other automated tools to screen and provide automated reports on medRxiv and bioRxiv COVID-19 preprints (Weissgerber et al, 2021).…”
Section: Questionsmentioning
confidence: 99%
“…If submissions continue to grow, there will be a need to develop automated tools to help screen preprints so that this burden does not become overwhelming to the volunteer researchers. We are seeing early steps in this space with the use of SciScore and other automated tools to screen and provide automated reports on medRxiv and bioRxiv COVID-19 preprints (Weissgerber et al, 2021).…”
Section: Questionsmentioning
confidence: 99%
“…If preprint submissions continue to grow, we will probably need to develop automated tools to help screen preprint submissions so that this burden does not become overwhelming to the volunteer researchers. We are seeing early steps in this space with the use of SciScore and other automated tools to screen and provide automated reports on medRxiv and bioRxiv COVID-19 preprints (Weissgerber et al, 2021) As preprint adoption grows and we build evidence as to whether preprints generate wider impact for research and potentially help reduce waste in funding, we may see additional funders and institutions update their policies and assessment frameworks to incorporate preprints. Research evaluation frameworks can take time to evolve, but as we have seen through DORA and other initiatives, a number of researchers and institutions are taking steps towards more inclusive evaluation systems that account for a broader range of research outputs (Hatch & Curry, 2020) .…”
Section: Conclusion and Open Questionsmentioning
confidence: 99%
“… 31 The subscription based tool uses conditional random field algorithms to detect entities. 31 Barzooka is a tool developed by Riedel, Weissgerber and colleagues, which flags the inappropriate use of bar graphs for continuous data (RRID:SCR_018508; https://quest-barzooka.bihealth.org 32 ). Being able to embed these and other tools as they are developed and validated, into systematic review pipelines will be paramount to utilising their combined benefits.…”
Section: Presentmentioning
confidence: 99%
“…bihealth. org 32 ). Being able to embed these and other tools as they are developed and validated, into systematic review pipelines will be paramount to utilising their combined benefits.…”
Section: Introductionmentioning
confidence: 99%