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Evidence from 14 research funding programmes confirms that early winners tend to keep winning (Matthew effect). But the idea that an early setback makes you stronger later doesn’t replicate widely. buff.ly/UEtcRd4

eLife Assessment

This important study reports the results of efforts to replicate two phenomena of significant interest to early-career scientists and scientific policymakers: the Matthew effect and the early-career setback effect. Several previous studies of these effects have focused on early-career researchers with grant proposals that fell just below or just above a funding threshold. Those just above the threshold were more likely to be successful when they applied for funding later in the career (an example of the well-known Matthew effect), while those just below were more likely to go on to have stronger publication records (the early-career setback effect). In this study the Matthew effect was found to be robust across funders, and to generalize from those close to the funding threshold to the whole population. The early-career setback effect was not robust across funders and did not generalize to the whole population. The evidence reported is convincing.

At the top of each article in eLife is an eLife Assessment, like the example below. They summarise the reviews using consistent assessment terms in bold to help you quickly understand the strengths and weaknesses of the research. 🔗 Learn more: elifesciences.org/inside-elife...

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eLife@elife.bsky.social · 9mo ago

Evidence from 14 research funding programmes confirms that early winners tend to keep winning (Matthew effect). But the idea that an early setback makes you stronger later doesn’t replicate widely. buff.ly/UEtcRd4

eLife Assessment

This important study reports the results of efforts to replicate two phenomena of significant interest to early-career scientists and scientific policymakers: the Matthew effect and the early-career setback effect. Several previous studies of these effects have focused on early-career researchers with grant proposals that fell just below or just above a funding threshold. Those just above the threshold were more likely to be successful when they applied for funding later in the career (an example of the well-known Matthew effect), while those just below were more likely to go on to have stronger publication records (the early-career setback effect). In this study the Matthew effect was found to be robust across funders, and to generalize from those close to the funding threshold to the whole population. The early-career setback effect was not robust across funders and did not generalize to the whole population. The evidence reported is convincing.

Our Head of Journal Development, Alessio Bolognesi, joins the ACS Publications webinar “What Next for Open Access?” on November 11, discussing the future of #OpenAccess agreements and what more equitable participation could look like. Register here: buff.ly/rHb8Ndr

open science essentials. what'snext for open access? November 11, 2025, 11 AM EST. Register for the ACS publications webinar

Frustrated with confusing or conflicting requests for revisions? At eLife, our consultative review process means editors and reviewers discuss their reviews with each other before sharing their recommendations. Learn more about peer review at eLife: buff.ly/jdaPive

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If you're in academia or industry and have taken action to push the needle to make your research, science, data etc. more open and useful (even if you've been told it will damage your career or goals), I'd love to know about what you've done. 2/4

Want to try your hand at science communication but don’t know where to start? We’ve put together seven tried and tested tips for communicating preprinted research with suggestions and resources that can help you on social media and beyond! buff.ly/XNkUScL #SciComm

Science Communication: Seven tips for discussing preprints on social media

Gain insights into tried-and-tested actions for communicating preprinted research effectively and responsibly on social media.

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