Florian Naudet
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floriannaudet.bsky.social
Florian Naudet
@floriannaudet.bsky.social
Meta-researcher, Clinician, Professor at Rennes University, Senior member at Institut Universitaire de France, affiliate at METRICStanford. ORCID: 0000-0003-3760-3801
Posts are my own.
Website: https://restores.univ-rennes.fr/
And feel free to look at the starting pack 1 too.

go.bsky.app/R8RNJgc
October 24, 2025 at 5:27 AM
Reposted by Florian Naudet
Happy to joint hands with you all!🙌
October 18, 2025 at 7:55 PM
Reposted by Florian Naudet
Great job @kahin-tai.bsky.social . Thanks for leading.
October 17, 2025 at 7:38 PM
"Open science often centers around publications and data transparency. We highlight how and why disseminating results to study participants is essential for maximizing the values and benefits of open science."
October 16, 2025 at 9:08 AM
Far… far… from my record that ended to be a masterpiece. link.springer.com/article/10.1...
The “Free lunches” index for assessing academics: a not entirely serious proposal - Scientometrics
Background Evaluating academics is a challenge, and the use of indicators such as scientific impact (i.e. number of published papers and their citation rate) is complex and poorly validated. We propose a new indicator for academic medical research: the “Free lunches” index (fl-index), computed from the sum of gifts from the industry. The fl-index provides a direct and straightforward measure of industry investment consisting in regaling a clinical researcher with rewards like a leisurely meal in a Michelin-starred restaurant or a relaxing stay in a high-end resort hotel. Methods and findings 3,936 French academics were included in this observational and satirical retrospective study using the French database registering gifts received by medical doctors and Web of Science, over the years 2014–2019. Pearson’s correlation coefficients explored the associations between the fl-index and in the h-index (the maximum number of published papers h that have each been cited at least h times) increase over the period 2014–2019. The diagnostic properties and optimal thresholds of the fl-index for detecting high scientific productivity were explored. High scientific productivity was defined as ranking in the top 25% scientists in terms of increase in the h-index. To detect possible differences according to medical disciplines, subgroup analyses were performed. The correlation coefficient between the fl-index and the increase in the h-index was 0.31 (95% CI 0.29 to 0.34). The optimal threshold was 7,700 € for the fl-index, giving a sensitivity of 65% (95% CI 61 to 67%), a specificity of 59% (95% CI 57 to 61%). However, there were considerable differences across medical disciplines, with correlations ranging from 0.12 (Morphology and morphogenesis) to 0.51 (Internal medicine, geriatrics, general surgery and general medicine), and the median fl-index ranging from 37 € (Public health, environment and society) to 30 404 € (Cardiorespiratory and vascular pathologies). Importantly, the highest correlations and values for the fl-index were observed for clinical disciplines. Conclusions Overall, the correlation between the fl-index and an increase in the h-index was modest so that the fl-index cannot be used as a surrogate for academic success as gauged by productivity-based metrics. However, future residents could use these results to complement the usual metrics in order to choose (or avoid) certain specialties, depending on whether they are more eager to produce scientific articles or to enjoy an affluent lifestyle that they consider well-deserved. Registration osf.io/7d4bk.
link.springer.com
October 5, 2025 at 9:12 AM
Reposted by Florian Naudet
Hehe, rejection record so far: 5
🙈
October 5, 2025 at 9:07 AM
Ah yes, just waiting for the peer reviewed publication ;)
October 5, 2025 at 9:03 AM
Grateful to all colleagues and friends who made this 15-year journey such a unique adventure 🙏
September 30, 2025 at 12:44 PM
We covered a lot: post-publication peer review, pharma marketing, rejection 😤, maleable meta-analyses, open science & data sharing, research integrity, incentives, and what it means to live inside science as a meta-researcher.
September 30, 2025 at 12:44 PM
It was great to look back on 15 years of (meta)research, from early work in methodology and antidepressants, to collaborations with John Ioannidis & the METRICS team at @stanforduniversity.bsky.social with the shift toward meta-research.
September 30, 2025 at 12:44 PM