Attitudes, behaviours and experiences of authors of COVID-19 preprints

Authors : Narmin Rzayeva, Susana Oliveira Henriques, Stephen Pinfield, Ludo Waltman

The COVID-19 pandemic caused a rise in preprinting, apparently triggered by the need for open and rapid dissemination of research outputs. We surveyed authors of COVID-19 preprints to learn about their experience of preprinting as well as publishing in a peer-reviewed journal.

A key aim was to consider preprints in terms of their effectiveness for authors to receive feedback on their work. We also aimed to compare the impact of feedback on preprints with the impact of comments of editors and reviewers on papers submitted to journals. We observed a high rate of new adopters of preprinting who reported positive intentions regarding preprinting their future work.

This allows us to posit that the boost in preprinting may have a structural effect that will last after the pandemic. We also saw a high rate of feedback on preprints but mainly through “closed” channels – directly to the authors.

This means that preprinting was a useful way to receive feedback on research, but the value of feedback could be increased further by facilitating and promoting “open” channels for preprint feedback. At the same time, almost a quarter of the preprints that received feedback received comments resembling journal peer review.

This shows the potential of preprint feedback to provide valuable detailed comments on research. However, journal peer review resulted in a higher rate of major changes in the papers surveyed, suggesting that the journal peer review process has significant added value compared to preprint feedback.

URL : Attitudes, behaviours and experiences of authors of COVID-19 preprints

DOI : https://doi.org/10.31235/osf.io/d96yj

Accelerated Peer Review and Paper Processing Models in Academic Publishing

Authors : Jaime A. Teixeira da Silva, Yuki Yamada

Some journals and publishers offer a free or paid rapid peer review service. In the latter case, such a service is offered at a premium, i.e., for an additional fee, and authors receive, in return, a privileged service, namely faster peer review.

In the cut-throat world of survival in academia, the difference of a few weeks or months in terms of speed of peer review and publication may bring untold benefits to authors that manage to benefit from accelerated peer review.

We examine the deontological aspects behind this two-tier peer review system, including some positive, but mainly negative, aspects. Some paid accelerated peer review services thrive.

We examine the paid accelerated peer review services by Taylor & Francis, Future Medicine Ltd., Elsevier, and two stand-alone journals that are OASPA members. This suggests that there is a demand, and thus market, for faster peer review.

However, this privilege risks creating a two-tiered system that may divide academics between those who can pay versus those who cannot.

We recommend that those papers that have benefited from accelerated peer review clearly indicate this in the published papers, as either a disclaimer or within the acknowledgements, for maximum transparency of the peer review and publication process.

DOI : https://doi.org/10.1007/s12109-022-09891-4

Are patents linked on Twitter? A case study of Google patents

Authors : Enrique Orduña‑Malea, Cristina I. Font‑Julián

This study attempts to analyze patents as cited/mentioned documents to better understand the interest, dissemination and engagement of these documents in social environments, laying the foundations for social media studies of patents (social Patentometrics).

Particularly, this study aims to determine how patents are disseminated on Twitter by analyzing three elements: tweets linking to patents, users linking to patents, and patents linked from Twitter.

To do this, all the tweets containing at least one link to a full-text patent available on Google Patents were collected and analyzed, yielding a total of 126,815 tweets (and 129,001 links) to 86,417 patents. The results evidence an increase of the number of linking tweets over the years, presumably due to the creation of a standardized patent URL ID and the integration of Google Patents and Google Scholar, which took place in 2015.

The engagement achieved by these tweets is limited (80.2% of tweets did not attract likes) but increasing notably since 2018. Two super-publisher twitter bot accounts (dailypatent and uspatentbot) are responsible of 53.3% of all the linking tweets, while most accounts are sporadic users linking to patent as part of a conversation.

The patents most tweeted are, by far, from United States (87.5% of all links to Google Patents), mainly due to the effect of the two super-publishers. The impact of patents in terms of the number of tweets linking to them is unrelated to their year of publication, status or number of patent citations received, while controversial and media topics might be more determinant factors.

However, further research is needed to better understand the topics discussed around patents on Twitter, the users involved, and the metrics attained. Given the increasing number of linking users and linked patents, this study finds Twitter as a relevant source to measure patent-level metrics, shedding light on the impact and interest of patents by the broad public.

URL : Are patents linked on Twitter? A case study of Google patents

DOI : https://doi.org/10.1007/s11192-022-04519-y

COVID‑19 and the scientific publishing system: growth, open access and scientific fields

Authors : Gabriela F. Nane, Nicolas Robinson‑Garcia, François van Schalkwyk, Daniel Torres‑Salinas

We model the growth of scientific literature related to COVID-19 and forecast the expected growth from 1 June 2021. Considering the significant scientific and financial efforts made by the research community to find solutions to end the COVID-19 pandemic, an unprecedented volume of scientific outputs is being produced.

This questions the capacity of scientists, politicians and citizens to maintain infrastructure, digest content and take scientifically informed decisions. A crucial aspect is to make predictions to prepare for such a large corpus of scientific literature.

Here we base our predictions on the Autoregressive Integrated Moving Average (ARIMA) and exponential smoothing models using the Dimensions database. This source has the particularity of including in the metadata information on the date in which papers were indexed.

We present global predictions, plus predictions in three specific settings: by type of access (Open Access), by domain-specific repository (SSRN and MedRxiv) and by several research fields. We conclude by discussing our findings.

URL : COVID‑19 and the scientific publishing system: growth, open access and scientific fields

DOI : https://doi.org/10.1007/s11192-022-04536-x

Forecasting the publication and citation outcomes of COVID-19 preprints

Authors : Michael Gordon, Michael Bishop, Yiling Chen, Anna Dreber, Brandon Goldfedder, Felix Holzmeister, Magnus Johannesson, Yang Liu, Louisa Tran, Charles Twardy, Juntao Wang, Thomas Pfeiffer

Many publications on COVID-19 were released on preprint servers such as medRxiv and bioRxiv. It is unknown how reliable these preprints are, and which ones will eventually be published in scientific journals.

In this study, we use crowdsourced human forecasts to predict publication outcomes and future citation counts for a sample of 400 preprints with high Altmetric score. Most of these preprints were published within 1 year of upload on a preprint server (70%), with a considerable fraction (45%) appearing in a high-impact journal with a journal impact factor of at least 10.

On average, the preprints received 162 citations within the first year. We found that forecasters can predict if preprints will be published after 1 year and if the publishing journal has high impact. Forecasts are also informative with respect to Google Scholar citations within 1 year of upload on a preprint server.

For both types of assessment, we found statistically significant positive correlations between forecasts and observed outcomes. While the forecasts can help to provide a preliminary assessment of preprints at a faster pace than traditional peer-review, it remains to be investigated if such an assessment is suited to identify methodological problems in preprints.

URL : Forecasting the publication and citation outcomes of COVID-19 preprints

DOI : https://doi.org/10.1098/rsos.220440

Transparency versus anonymity: which is better to eliminate bias in peer review?

Authors: Faye Holst, Kim Eggleton, Simon Harris

Peer review is a critical component of the scientific process. When conducted properly by dedicated and competent reviewers, it helps to safeguard the quality, validity, authority and rigour of academic work. However, bias in peer review is well documented and can skew objectivity of the review and hinder fair assessment of research.

To mitigate against bias and enhance accountability, IOP Publishing has introduced two different, but complementary, approaches to all their peer-reviewed, open access (OA) journals: double-anonymous peer review and transparent peer review.

Double-anonymous peer review, where the reviewer and author identities are concealed, is designed to tackle inequality in the scholarly publishing process as it reduces bias with respect to gender, race, country of origin or affiliation.

Transparent peer review shows readers the full peer review history, including reviewer reports, editor decision letters and the authors’ responses alongside the published article. Making this process visible to the community increases accountability, allows reviewers to be recognized more for their work and can aid the training of aspiring reviewers.

IOP Publishing is the first physics publisher to adopt both of these approaches portfolio wide. In this article we discuss how applying these methods has altered different elements of the publishing process. Early indicators show that there may be a marked difference in acceptance rates across regions.

URL : Transparency versus anonymity: which is better to eliminate bias in peer review?

DOI : http://doi.org/10.1629/uksg.584

Scientific authorship by gender: trends before and during a global pandemic

Authors : Ji-Young Son, Michelle L. Bell

Many fields of science are still dominated by men. COVID-19 has dramatically changed the nature of work, including for scientists, such as lack of access to key resources and transition to online teaching. Further, scientists face the pandemic-related stressors common to other professions (e.g., childcare, eldercare).

As many of these activities fall more heavily on women, the pandemic may have exacerbated gender disparities in science. We analyzed self-identified gender of corresponding author for 119,592 manuscripts from 151 countries submitted January 2019 to July 2021 to the Institute of Physics (IOP) portfolio of 57 academic journals, with disciplines of astronomy and astrophysics, bioscience, environmental science, materials, mathematics, physics, and interdisciplinary research.

We consider differences by country, journal, and pre-pandemic versus pandemic periods. Gender was self-identified by corresponding author for 82.9% of manuscripts (N = 99,114 for subset of submissions with gender). Of these manuscripts, authors were 82.1% male, 17.8% female, and 0.08% non-binary. Most authors were male for all countries (country-specific values: range 0.0–100.0%, median 86.1%) and every journal (journal-specific values range 63.7–91.5%, median 83.7%).

The contribution of female authors was slightly higher in the pandemic (18.7%) compared to pre-pandemic (16.5%). However, prior to the pandemic, the percent of submissions from women had been increasing, and this value slowed during the pandemic. Contrary to our hypothesis, we did not find that manuscript submissions from women decreased during the pandemic, although the rate of increased submissions evident prior to the pandemic slowed.

In both pre-pandemic and pandemic periods, authorship was overwhelmingly male for all journals, countries, and fields. Further research is needed on impacts of the pandemic on other measures of scientific productivity (e.g., accepted manuscripts, teaching), scientific position (e.g., junior vs. senior scholars), as well as the underlying gender imbalance that persisted before and during the pandemic.

URL : Scientific authorship by gender: trends before and during a global pandemic

DOI : https://doi.org/10.1057/s41599-022-01365-4