Announcement: Reducing our irreproducibility
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The questionnaire questions were based on existing reporting guidelines, journal checklists, and previous studies on quality of reporting.
“Questions were based on existing reporting guidelines [6, 13, 25, 30], journal checklists [32] and previous studies on quality of reporting [19, 40], and are presented along with their response options on Table S1.”
From Comparing quality of reporting between preprints and peer-reviewed articles in the biomedical literature (2020) · cites this paper as [32]
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Making big data open: data sharing in neuroimaging
Poldrack, R. A., & Gorgolewski, K. J. (2014) · Nature Neuroscience · doi:10.1038/nn.3818 · Cited by 412 · see citing works
Risk of bias in reports of in vivo research: a focus for improvement
Macleod, M. R., Lawson McLean, A., Kyriakopoulou, A., Serghiou, S., de Wilde, A., Sherratt, N., Hirst, T., Hemblade, R., Bahor, Z., Nunes-Fonseca, C., et al. (2015) · PLOS Biology · doi:10.1371/journal.pbio.1002273 · Cited by 358 · see citing works
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Moermond, C., Kase, R., Korkaric, M., & Ågerstrand, M. (2015) · Environmental Toxicology and Chemistry · doi:10.1002/etc.3259 · Cited by 332 · see citing works
Voets, M., Møllersen, K., & Bongo, L. A. (2019) · PLoS ONE · doi:10.1371/journal.pone.0217541 · Cited by 312 · see citing works
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Errington, T. M., Denis, A., Perfito, N., Iorns, E., & Nosek, B. A. (2021) · eLife · doi:10.7554/elife.67995 · Cited by 323 · see citing works
Baker, D., Lidster, K., Sottomayor, A., & Amor, S. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1001756 · Cited by 305 · see citing works
Henderson, V. C., Kimmelman, J., Fergusson, D. A., Grimshaw, J., & Hackam, D. G. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001489 · Cited by 300 · see citing works
The need for transparency and good practices in the qPCR literature
Bustin, S. A., Benes, V., Garson, J., Hellemans, J., Huggett, J., Kubista, M., Mueller, R., Nolan, T., Pfaffl, M. W., Shipley, G., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2697 · Cited by 281 · see citing works
A resource for cell line authentication, annotation and quality control
Yu, M., Selvaraj, S. K., Liang-Chu, M. M. Y., Aghajani, S., Busse, M., Yuan, J., Lee, G., Peale, F., Klijn, C., Bourgon, R., et al. (2015) · Nature · doi:10.1038/nature14397 · Cited by 243 · see citing works
Reproducibility and replicability of rodent phenotyping in preclinical studies
Kafkafi, N., Agassi, J., Chesler, E. J., Crabbe, J. C., Crusio, W. E., Eilam, D., Gerlai, R., Golani, I., Gomez-Marin, A., Heller, R., et al. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.01.003 · Cited by 215 · see citing works
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Fourches, D., Muratov, E. N., & Tropsha, A. (2015) · Nature Chemical Biology · doi:10.1038/nchembio.1881 · Cited by 193 · see citing works
Carbone, L., & Austin, J. (2016) · PLOS ONE · doi:10.1371/journal.pone.0155001 · Cited by 191 · see citing works
Gil, Y., David, C. H., Demir, İ., Essawy, B. T., Fulweiler, R. W., Goodall, J. L., Karlstrom, L., Lee, H., Mills, H. J., Oh, J., et al. (2016) · Earth and Space Science · doi:10.1002/2015ea000136 · Cited by 182 · see citing works
Leung, V., Rousseau-Blass, F., Beauchamp, G., & Pang, D. S. J. (2018) · PLOS ONE · doi:10.1371/journal.pone.0197882 · Cited by 172 · see citing works
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Piccolo, S., & Frampton, M. (2016) · GigaScience · doi:10.1186/s13742-016-0135-4 · Cited by 167 · see citing works
A consensus-based transparency checklist
Aczel, B., Szaszi, B., Sarafoglou, A., Kekecs, Z., Kucharský, Š., Benjamin, D., Chambers, C. D., Fisher, A., Gelman, A., Gernsbacher, M. A., et al. (2019) · Nature Human Behaviour · doi:10.1038/s41562-019-0772-6 · Cited by 152 · see citing works
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Harris, C. A., Scott, A. P., Johnson, A. C., Panter, G. H., Sheahan, D., Roberts, M., & Sumpter, J. P. (2014) · Environmental Science & Technology · doi:10.1021/es4047507 · Cited by 153 · see citing works
Carneiro, C. F. D., Queiroz, V. G. S., Moulin, T. C., Carvalho, C. A. M., Haas, C. B., Rayêe, D., Henshall, D. E., De-Souza, E. A., Amorim, F. E., Boos, F. Z., et al. (2020) · Research Integrity and Peer Review · doi:10.1186/s41073-020-00101-3 · Cited by 146 · see citing works
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Steckler, T. (2015) · SpringerPlus · doi:10.1186/2193-1801-4-1 · Cited by 141 · see citing works
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Ramirez, F. D., Motazedian, P., Jung, R. G., Di Santo, P., MacDonald, Z. D., Moreland, R., Simard, T., Clancy, A. A., Russo, J. J., Welch, V. A., et al. (2017) · Circulation Research · doi:10.1161/circresaha.117.310628 · Cited by 138 · see citing works
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Freedman, L. P., Gibson, M. C., Ethier, S. P., Soule, H. R., Neve, R. M., & Reid, Y. A. (2015) · Nature Methods · doi:10.1038/nmeth.3403 · Cited by 136 · see citing works
R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics
Baumer, B. S., Çetinkaya-Rundel, M., Bray, A. P., Loi, L., & Horton, N. J. (2014) · Technology Innovations in Statistics Education · doi:10.5070/t581020118 · Cited by 136 · see citing works
Han, S., Olonisakin, T. F., Pribis, J. P., Zupetic, J., Yoon, J. H., Holleran, K. M., Jeong, K., Shaikh, N., Rubio, D. M., & Lee, J. S. (2017) · PLOS ONE · doi:10.1371/journal.pone.0183591 · Cited by 131 · see citing works
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Simeon‐Dubach, D., & Watson, P. H. (2014) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2013.12.018 · Cited by 123 · see citing works
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Percie du Sert, N., Bamsey, I., Bate, S. T., Berdoy, M., Clark, R. A., Cuthill, I., Fry, D., Karp, N. A., Macleod, M., Moon, L., et al. (2017) · PLOS Biology · doi:10.1371/journal.pbio.2003779 · Cited by 118 · see citing works
Bustin, S., & Nolan, T. (2017) · European Journal of Clinical Investigation · doi:10.1111/eci.12801 · Cited by 113 · see citing works
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Macleod, M., & Mohan, S. (2019) · ILAR Journal · doi:10.1093/ilar/ilz015 · Cited by 104 · see citing works
LeBel, E. P., Borsboom, D., Giner‐Sorolla, R., Hasselman, F., Peters, K. R., Ratliff, K. A., & Smith, C. T. (2013) · Perspectives on Psychological Science · doi:10.1177/1745691613491437 · Cited by 103 · see citing works
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The NPQIP Collaborative group, Study steering committee, Macleod, M., Sena, E., Howells, D., Macleod, M., Sena, E., Howells, D., Kiermer, V., Swaminathan, S., et al. (2019) · BMJ Open Science · doi:10.1136/bmjos-2017-000035 · Cited by 102 · see citing works
Reproducibility of research and preclinical validation: problems and solutions
Pusztai, L., Hatzis, C., & André, F. (2013) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2013.171 · Cited by 103 · see citing works
Reveal, Don’t Conceal: Transforming Data Visualization to Improve Transparency
Weissgerber, T. L., Winham, S. J., Heinzen, E. P., Milin-Lazovic, J. S., Garcia-Valencia, O., Bukumiric, Z., Savic, M. D., Garovic, V. D., & Milic, N. M. (2019) · Circulation · doi:10.1161/circulationaha.118.037777 · Cited by 101 · see citing works
Reproducibility: The risks of the replication drive
Bissell, M. (2013) · Nature · doi:10.1038/503333a · Cited by 99 · see citing works
Nicholson, C., Kansa, S. W., Gupta, N., & Fernandez, R. (2023) · Advances in Archaeological Practice · doi:10.1017/aap.2022.40 · Cited by 98 · see citing works
The Increasing Urgency for Standards in Basic Biologic Research
Freedman, L. P., & Inglese, J. (2014) · Cancer Research · doi:10.1158/0008-5472.can-14-0925 · Cited by 87 · see citing works
The Rigor and Transparency Index Quality Metric for Assessing Biological and Medical Science Methods
Menke, J., Roelandse, M., Ozyurt, B., Martone, M., & Bandrowski, A. (2020) · iScience · doi:10.1016/j.isci.2020.101698 · Cited by 90 · see citing works
Minimum Information Necessary for Quantitative Real-Time PCR Experiments
Johnson, G. L., Nour, A. M. A., Nolan, T., Huggett, J. F., & Bustin, S. A. (2014) · Methods in molecular biology · doi:10.1007/978-1-4939-0733-5_2 · Cited by 87 · see citing works
Currie, G. L., Angel-Scott, H. N., Colvin, L., Cramond, F., Hair, K., Khandoker, L., Liao, J., Macleod, M. R., McCann, S., Morland, R., et al. (2019) · PLoS Biology · doi:10.1371/journal.pbio.3000243 · Cited by 80 · see citing works
The future of whole-cell modeling
Macklin, D. N., Ruggero, N. A., & Covert, M. W. (2014) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2014.01.012 · Cited by 83 · see citing works
Reproducing Statistical Results
Stodden, V. (2015) · Annual Review of Statistics and Its Application · doi:10.1146/annurev-statistics-010814-020127 · Cited by 77 · see citing works
Macleod, M., Collings, A. M., Graf, C., Kiermer, V., Mellor, D., Swaminathan, S., Sweet, D., & Vinson, V. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2103238118 · Cited by 77 · see citing works
Why we need to report more than 'Data were Analyzed by t-tests or ANOVA'
Weissgerber, T. L., Garcia-Valencia, O., Garovic, V. D., Milic, N. M., & Winham, S. J. (2018) · eLife · doi:10.7554/elife.36163 · Cited by 76 · see citing works
Big Data, data integrity, and the fracturing of the control zone
Lagoze, C. (2014) · Big Data & Society · doi:10.1177/2053951714558281 · Cited by 75 · see citing works
Reinventing Biostatistics Education for Basic Scientists
Weissgerber, T. L., Garovic, V. D., Milin-Lazovic, J. S., Winham, S. J., Zoran Obradovic, A., Trzeciakowski, J. P., & Milic, N. M. (2016) · PLoS Biology · doi:10.1371/journal.pbio.1002430 · Cited by 68 · see citing works
Fair game? Producing and publishing gambling research
Cassidy, R. (2014) · International Gambling Studies · doi:10.1080/14459795.2014.971420 · Cited by 67 · see citing works
Mogil, J. S. (2017) · Lab Animal · doi:10.1038/laban.1223 · Cited by 65 · see citing works
Shin, H. S., Shin, H., & Shudo, Y. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.673683 · Cited by 63 · see citing works
Significance chasing in research practice: causes, consequences and possible solutions
Ware, J. J., & Munafo, M. R. (2014) · Addiction · doi:10.1111/add.12673 · Cited by 58 · see citing works
RIPOSTE: a framework for improving the design and analysis of laboratory-based research
Masca, N. G. D., Hensor, E. M. A., Cornelius, V. R., Buffa, F. M., Marriott, H. M., Eales, J., Messenger, M. P., Anderson, A. E., Boot, C., Bunce, C., et al. (2015) · eLife · doi:10.7554/elife.05519 · Cited by 57 · see citing works
The reproducibility of biomedical research: Sleepers awake!
Bustin, S. A. (2014) · Biomolecular Detection and Quantification · doi:10.1016/j.bdq.2015.01.002 · Cited by 56 · see citing works
Changing the Mindset in Life Sciences Toward Translation: A Consensus
Duda, G. N., Grainger, D. W., Frisk, M. L., Bruckner‐Tuderman, L., Carr, A. J., Dirnagl, U., Einhäupl, K. M., Gottschalk, S. M., Gruskin, E. A., Huber, C., et al. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.aaa0599 · Cited by 55 · see citing works
Ten Basic Rules of Antibody Validation
Weller, M. G. (2018) · Analytical Chemistry Insights · doi:10.1177/1177390118757462 · Cited by 55 · see citing works
Randomization Does Not Help Much, Comparability Does
Saint‐Mont, U. (2015) · PLoS ONE · doi:10.1371/journal.pone.0132102 · Cited by 55 · see citing works
Simeon‐Dubach, D., & Henderson, M. K. (2014) · Biopreservation and Biobanking · doi:10.1089/bio.2014.1251 · Cited by 53 · see citing works
Cashin, A. G., Bagg, M. K., Richards, G. C., Toomey, E. C., McAuley, J. H., & Lee, H. (2020) · BMJ Evidence-Based Medicine · doi:10.1136/bmjebm-2019-111296 · Cited by 51 · see citing works
Benchmark of Nanoparticle Tracking Analysis on Measuring Nanoparticle Sizing and Concentration
Maguire, C. M., Sillence, K., Roesslein, M., Hannell, C., Suárez, G., Sauvain, J., Capracotta, S. S., Contal, S., Cambier, S., Yamani, N. E., et al. (2017) · Journal of Micro and Nano-Manufacturing · doi:10.1115/1.4037124 · Cited by 52 · see citing works
A short history of chemometrics: a personal view
Brereton, R. G. (2014) · Journal of Chemometrics · doi:10.1002/cem.2633 · Cited by 52 · see citing works
McGrath, J. C., McLachlan, E. M., & Zeller, R. (2015) · British Journal of Pharmacology · doi:10.1111/bph.12956 · Cited by 52 · see citing works
Quality control of protein reagents for the improvement of research data reproducibility
de Marco, A., Berrow, N. S., Lebendiker, M., García-Alai, M., Knauer, S. H., Mendez, B. L., Matagne, A., Parret, A. H. A., Remans, K., Uebel, S. F. W., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-23167-z · Cited by 49 · see citing works
Selective Inference: The Silent Killer of Replicability
Benjamini, Y. (2020) · Harvard Data Science Review · doi:10.1162/99608f92.fc62b261 · Cited by 49 · see citing works
Helsby, M. A., Leader, P. M., Fenn, J. R., Gülşen, T., Bryant, C., Doughton, G., Sharpe, B. P., Whitley, P. R., Caunt, C. J., James, K., et al. (2014) · BMC Cell Biology · doi:10.1186/1471-2121-15-6 · Cited by 47 · see citing works
Irreproducibility of published bioscience research: Diagnosis, pathogenesis and therapy
Flier, J. S. (2016) · Molecular Metabolism · doi:10.1016/j.molmet.2016.11.006 · Cited by 45 · see citing works
Revision of the ARRIVE guidelines: rationale and scope
du Sert, N. P., Hurst, V., Ahluwalia, A., Alam, S., Altman, D. G., Avey, M. T., Baker, M., Browne, W. J., Clark, A., Cuthill, I. C., et al. (2018) · BMJ Open Science · doi:10.1136/bmjos-2018-000002 · Cited by 47 · see citing works
The National Institutes of Health and guidance for reporting preclinical research
Moher, D., Avey, M. T., Antes, G., & Altman, D. G. (2015) · BMC Medicine · doi:10.1186/s12916-015-0284-9 · Cited by 43 · see citing works
Quantifying research waste in ecology
Purgar, M., Klanjšček, T., & Čulina, A. (2022) · Nature Ecology & Evolution · doi:10.1038/s41559-022-01820-0 · Cited by 46 · see citing works
Reproducibility of Results in Preclinical Studies: A Perspective From the Bone Field
Manolagas, S. C., & Kronenberg, H. M. (2014) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.2293 · Cited by 43 · see citing works
Late Mitochondrial Origin Is an Artifact
Martin, W. F., Roettger, M., Ku, C., Garg, S. G., Nelson-Sathi, S., & Landan, G. (2017) · Genome Biology and Evolution · doi:10.1093/gbe/evx027 · Cited by 42 · see citing works
Improving Reproducibility in Toxicology
Miller, G. W. (2014) · Toxicological Sciences · doi:10.1093/toxsci/kfu050 · Cited by 42 · see citing works
Guidelines for manuscript submission in the peer-reviewed pharmacological literature
Mullane, K., Enna, S. J., Piette, J. G., & Williams, M. J. (2015) · Biochemical Pharmacology · doi:10.1016/j.bcp.2015.06.023 · Cited by 41 · see citing works
Current Status of Single Particle Imaging with X-ray Lasers
Sun, Z., Fan, J., Li, H., & Jiang, H. (2018) · Applied Sciences · doi:10.3390/app8010132 · Cited by 41 · see citing works
Slide Set: Reproducible Image Analysis and Batch Processing with ImageJ
Nanes, B. A. (2015) · BioTechniques · doi:10.2144/000114351 · Cited by 38 · see citing works
Lost in space: design of experiments and scientific exploration in a Hogarth Universe
Lendrem, D. W., Lendrem, C., Woods, D. C., Rowland‐Jones, R. C., Burke, M. D., Chatfield, M. J., Isaacs, J. D., & Owen, M. R. (2015) · Drug Discovery Today · doi:10.1016/j.drudis.2015.09.015 · Cited by 37 · see citing works
Publishers’ Responsibilities in Promoting Data Quality and Reproducibility
Hrynaszkiewicz, I. (2019) · Handbook of experimental pharmacology · doi:10.1007/164_2019_290 · Cited by 36 · see citing works
Translational paradigms in pharmacology and drug discovery
Mullane, K., Winquist, R. J., & Williams, M. J. (2013) · Biochemical Pharmacology · doi:10.1016/j.bcp.2013.10.019 · Cited by 34 · see citing works
Hadj-Hamou, M., Lorenzi, M., Ayache, N., & Pennec, X. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00236 · Cited by 32 · see citing works
Transparent reporting for reproducible science
Weissgerber, T. L., Garovic, V. D., Winham, S. J., Milic, N. M., & Prager, E. M. (2016) · Journal of Neuroscience Research · doi:10.1002/jnr.23785 · Cited by 32 · see citing works
Reporting research antibody use: how to increase experimental reproducibility
Helsby, M. A., Fenn, J. R., & Chalmers, A. D. (2013) · F1000Research · doi:10.12688/f1000research.2-153.v2 · Cited by 29 · see citing works
Guire, E. D., Bartolo, L. M., Brindle, R., Devanathan, R., Dickey, E. C., Fessler, J., French, R. H., Fotheringham, U., Harmer, M. P., Lara‐Curzio, E., et al. (2019) · Journal of the American Ceramic Society · doi:10.1111/jace.16677 · Cited by 29 · see citing works
Framework for advancing rigorous research
Koroshetz, W. J., Behrman, S., Brame, C. J., Branchaw, J. L., Brown, E. N., Clark, E. A., Dockterman, D., Elm, J. J., Gay, P. L., Green, K. M., et al. (2020) · eLife · doi:10.7554/elife.55915 · Cited by 28 · see citing works
Brown, S. D., Furrow, D. R., Hill, D. F., Gable, J. C., Porter, L. P., & Jacobs, W. J. (2014) · Perspectives on Psychological Science · doi:10.1177/1745691614551749 · Cited by 29 · see citing works
Boylan, J. E. (2016) · IMA Journal of Management Mathematics · doi:10.1093/imaman/dpw003 · Cited by 28 · see citing works
RetractedCramond, F., Irvine, C., Liao, J., Howells, D. W., Sena, E. S., Currie, G. L., & Macleod, M. R. (2016) · Scientometrics · doi:10.1007/s11192-016-1964-8 · Cited by 29 · see citing works
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Poland, C. A., Miller, M. R., Duffin, R., & Cassee, F. R. (2014) · Particle and Fibre Toxicology · doi:10.1186/s12989-014-0042-8 · Cited by 27 · see citing works
Mandal, R. K., Denny, J. E., Waide, M. L., Li, Q., Bhutiani, N., Anderson, C. D., Baby, B. V., Jala, V. R., Egilmez, N. K., & Schmidt, N. W. (2020) · BMC Biology · doi:10.1186/s12915-020-00810-7 · Cited by 26 · see citing works
Capparelli, R., Chiara, F. D., Matteo, A. D., Medaglia, C., & Iannelli, D. (2013) · Genes and Immunity · doi:10.1038/gene.2013.48 · Cited by 26 · see citing works
Carneiro, C. F. D., Queiroz, V. G. S., Moulin, T. C., de Carvalho, C. A. M., Haas, C. B., Rayêe, D., Henshall, D. E., De‐Souza, E. A., Amorim, F. E., Boos, F. Z., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/581892 · Cited by 28 · see citing works
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- Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Publishing and Scholarly Communication
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Academic Writing and Publishing
- Keywords
- research reproducibility, research reliability, peer review, publication practices, research integrity, scientific journals
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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