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EN

Scientific publishing without gatekeeping: an empirical investigation of eLife’s new peer review process

Authors : Rüdiger Mutz, Lutz Bornmann, Hans‑Dieter Daniel

At the end of January 2023, eLife introduced a new publishing model (alongside the old-traditional-publishing model): all manuscripts submitted as preprints are peer-reviewed and published if they are deemed worthy of review by the editorial team (“editorial triage”). The model abandons the gatekeeping function and retains the previous “consultative approach to peer review”.

Even under the changed conditions, the question of the quality of judgements in the peer review process remains. In this study, the reviewers’ ratings of manuscripts submitted to eLife were examined in terms of both descriptive comparisons of peer review models, and the following selected quality criteria of peer review: interrater agreement and interrater reliability. eLife provided us with the data on all manuscripts submitted in 2023 according to the new publishing model (group 3, N = 3,846), as well as manuscripts submitted according to the old publishing model (group 1: N = 6,592 submissions from 2019; group 2: N = 364 submissions from 2023).

The interrater agreement and interrater reliability for the criteria “significance of findings” and “strength of support” were similarly low, as previous empirical studies for gatekeeping journals have shown.

The fairness of peer review is not or only slightly compromised. We used the empirical results of our study to recommend several improvements to the new publishing model introduced by eLife as for example, increasing transparency, masking author identity or increasing the number of expert reviewers.

URL : Scientific publishing without gatekeeping: an empirical investigation of eLife’s new peer review process

DOI : https://doi.org/10.1007/s11192-025-05422-y

Catégories
EN

Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases

Authors : Lutz Bornmann, Robin Haunschild, Rüdiger Mutz

Growth of science is a prevalent issue in science of science studies. In recent years, two new bibliographic databases have been introduced, which can be used to study growth processes in science from centuries back: Dimensions from Digital Science and Microsoft Academic.

In this study, we used publication data from these new databases and added publication data from two established databases (Web of Science from Clarivate Analytics and Scopus from Elsevier) to investigate scientific growth processes from the beginning of the modern science system until today.

We estimated regression models that included simultaneously the publication counts from the four databases. The results of the unrestricted growth of science calculations show that the overall growth rate amounts to 4.10% with a doubling time of 17.3 years. As the comparison of various segmented regression models in the current study revealed, models with four or five segments fit the publication data best.

We demonstrated that these segments with different growth rates can be interpreted very well, since they are related to either phases of economic (e.g., industrialization) and/or political developments (e.g., Second World War).

In this study, we additionally analyzed scientific growth in two broad fields (Physical and Technical Sciences as well as Life Sciences) and the relationship of scientific and economic growth in UK.

The comparison between the two fields revealed only slight differences. The comparison of the British economic and scientific growth rates showed that the economic growth rate is slightly lower than the scientific growth rate.

URL : Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases

DOI : https://doi.org/10.1057/s41599-021-00903-w