Cited by 1,449Scientific Computing and Data ManagementResearch Data Management PracticesAcademic Publishing and Open Access

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Reproducible Research in Computational Science

Open access
Peng, Roger D.·2011·Science

Abstract

Computational science has led to exciting new developments, but the nature of the work has exposed limitations in our ability to evaluate published findings. Reproducibility has the potential to serve as a minimum standard for judging scientific claims when full independent replication of a study is not possible.

Overview

The claims and statistics of this paper haven’t been checked yet.

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Integrity signals

Registry

Crossref · 10.1126/science.1213847

Cites

13 of 13 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

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Show all 11 references

Research works printed but not linked: 1

  1. Yale Law School Roundtable on Data and Code Sharing, Comput. Sci. Eng. 12, 8 (2010).

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Metadata

Authors
Peng, R. D.
Affiliations
Johns Hopkins University (US)
Corresponding author
Peng, Roger D.
Venue
Science
Published
2011-12-02
Volume
334
Issue
6060
Pages
1226-1227
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2008985174
Cited by
1,449
References
11
Citations by year
2026: 162 · 2025: 75 · 2024: 63 · 2023: 74 · 2022: 85 · 2021: 121 · 2020: 139 · 2019: 162 · 2018: 138 · 2017: 113 · 2016: 106 · 2015: 82 · 2014: 51 · 2013: 46 · 2012: 29
FWCI
98.43
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of Environmental Health Sciences (R01ES019560)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
  • Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
  • Social Sciences › Library and Information Sciences › Academic Publishing and Open Access
Keywords
reproducible research, scientific computing, reproducibility, scientific claims, replication
MeSH terms
Computers, Publishing, Research, Reproducibility of Results, Computational Biology, Editorial Policies, Biomedical Research, Biostatistics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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