🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Anne‐Laure Boulesteix

Zimmer Biomet (Netherlands)

ORCID: 0000-0002-2729-0947

Also affiliated with Zimmer Biomet (Germany), Machine Science, Munich Center for Machine Learning, Ludwig-Maximilians-Universität München

Biochemistry, Genetics and Molecular BiologyMathematicsDecision Sciences

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 2%percentile
2.1Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges

BMC Medicine(2023)10.1186/s12916-023-02858-y
Top 10%
2.1DataRank
Top 10%92 citations

Riccardo De Bin, Axel Benner, Federico Ambrogi, Lara Lusa, Anne‐Laure Boulesteix +7 more

Papers

Driven by 8 papers — median percentile 90. Top paper: “Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI”.

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Nature Medicine(2022)10.1038/s41591-022-01772-9
N/A
13.0DataRank · unranked
589 citations

Myura Nagendran, Bruce Campbell, David A. Clifton, Gary S. Collins, Spiros Denaxas +95 more

Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

European Heart Journal(2022)10.1093/eurheartj/ehac238
N/A
5.2DataRank · unranked
134 citations

Georg Heinze, Ben van Calster, Folkert W. Asselbergs, Panos Vardas, Nico Bruining +6 more

Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges

BMC Medicine(2023)10.1186/s12916-023-02858-y
Top 10%
2.1DataRank
Top 10%92 citations

Riccardo De Bin, Axel Benner, Federico Ambrogi, Lara Lusa, Anne‐Laure Boulesteix +7 more

Comparing the vibration of effects due to model, data pre-processing and sampling uncertainty on a large data set in personality psychology

Meta-Psychology(2023)10.15626/mp.2020.2556
N/A
0.589DataRank · unranked
13 citations

Felix D. Schönbrodt, Chirag J. Patel, John P. A. Ioannidis, Sabine Hoffmann, Felix Felix +2 more

Examining the robustness of observational associations to model, measurement and sampling uncertainty with the vibration of effects framework

International Journal of Epidemiology(2020)10.1093/ije/dyaa164
N/A
0.529DataRank · unranked
33 citations

Sabine Hoffmann, Chirag J. Patel, John P. A. Ioannidis, Anne‐Laure Boulesteix, Simon Klau

Comparing the vibration of effects due to model, data pre-processing and sampling uncertainty on a large data set in personality psychology

Open access LMU (Ludwid Maxmilian's Universitat Munchen)(2020)10.5282/ubm/epub.70485
N/A
0.208DataRank · unranked
3 citations

Felix D. Schönbrodt, Chirag J. Patel, John P. A. Ioannidis, Anne‐Laure Boulesteix, Sabine Hoffmann +1 more

Comparing the vibration of effects due to model, data pre-processing and sampling uncertainty on a large data set in personality psychology

PsyArXiv (OSF Preprints)(2020)10.31234/osf.io/c7v8b
N/A
0.104DataRank · unranked
1 citations

Felix D. Schönbrodt, Chirag J. Patel, John P. A. Ioannidis, Anne‐Laure Boulesteix, Sabine Hoffmann +1 more

Relationship between age at initiation of cysteamine treatment, adherence with therapy, and glomerular kidney function in infantile nephropathic cystinosis

Molecular Genetics and Metabolism(2022)10.1016/j.ymgme.2022.06.010
N/A
0DataRank · unranked
13 citations

Anne‐Laure Boulesteix, Jun Oh, Katja Palm, Peter Schlingmann, Simone Wygoda +27 more