The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm
Open accessAbstract
Figures in scientific publications are critically important because they often show the data supporting key findings. Our systematic review of research articles published in top physiology journals (n = 703) suggests that, as scientists, we urgently need to change our practices for presenting continuous data in small sample size studies. Papers rarely included scatterplots, box plots, and histograms that allow readers to critically evaluate continuous data. Most papers presented continuous data in bar and line graphs. This is problematic, as many different data distributions can lead to the same bar or line graph. The full data may suggest different conclusions from the summary statistics. We recommend training investigators in data presentation, encouraging a more complete presentation of data, and changing journal editorial policies. Investigators can quickly make univariate scatterplots for small sample size studies using our Excel templates.
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Cites
Scientific method: Statistical errors
Nuzzo, R. (2014) · Nature · doi:10.1038/506150a · Cited by 1,536
The unicorn, the normal curve, and other improbable creatures.
Micceri, T. (1989) · Psychological Bulletin · doi:10.1037//0033-2909.105.1.156 · Cited by 1,485
Guidelines for reporting statistics in journals published by the American Physiological Society
Curran-Everett, D., & Benos, D. J. (2004) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00346.2004 · Cited by 335
Baker, D., Lidster, K., Sottomayor, A., & Amor, S. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1001756 · Cited by 305
To test or not to test: Preliminary assessment of normality when comparing two independent samples
Rochon, J., Gondan, M., & Kieser, M. (2012) · BMC Medical Research Methodology · doi:10.1186/1471-2288-12-81 · Cited by 296
Increasing Physicians’ Awareness of the Impact of Statistics on Research Outcomes
Bridge, P. D., & Sawilowsky, S. S. (1999) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(98)00168-1 · Cited by 267
The Seven Deadly Sins of Statistical Analysis
Kuzon, W. M., Urbanchek, M. G., & McCabe, S. (1996) · Annals of Plastic Surgery · doi:10.1097/00000637-199609000-00006 · Cited by 212
Re: The Seven Deadly Sins of Statistical Analysis
Kuzon, W. M., Urbanchek, M., & McCabe, S. (1997) · Annals of Plastic Surgery · doi:10.1097/00000637-199701000-00026 · Cited by 179
Clinical and Translational Science Awards
Obrams, G. I., del Junco, D. J., & Fox, E. E. (2009) · Annals of Epidemiology · doi:10.1016/j.annepidem.2009.07.041 · Cited by 114
The Content of Medical Journal Instructions for Authors
Schriger, D. L., Arora, S., & Altman, D. G. (2006) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2006.03.028 · Cited by 73
Cited by
Zhao, Z., Chen, X., Dowbaj, A. M., Sljukic, A., Bratlie, K., Lin, L., Fong, E. L. S., Balachander, G. M., Chen, Z., Soragni, A., et al. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-022-00174-y · Cited by 1,082
SuperPlots: Communicating reproducibility and variability in cell biology
Lord, S. J., Velle, K. B., Mullins, R. D., & Fritz-Laylin, L. K. (2020) · Journal of Cell Biology · doi:10.1083/jcb.202001064 · Cited by 718
Understanding the dominant controls on litter decomposition
Bradford, M. A., Berg, B., Maynard, D. S., Wieder, W. R., & Wood, S. A. (2016) · Journal of Ecology · doi:10.1111/1365-2745.12507 · Cited by 669
Subtypes of Preeclampsia: Recognition and Determining Clinical Usefulness
Roberts, J. M., Rich-Edwards, J. W., McElrath, T. F., Garmire, L., Myatt, L., & for the Global Pregnancy Collaboration (2021) · Hypertension · doi:10.1161/hypertensionaha.120.14781 · Cited by 311
Navigating the garden of forking paths for data exclusions in fear conditioning research
Lonsdorf, T. B., Klingelhöfer-Jens, M., Andreatta, M., Beckers, T., Chalkia, A., Gerlicher, A., Jentsch, V. L., Meir Drexler, S., Mertens, G., Richter, J., et al. (2019) · eLife · doi:10.7554/elife.52465 · Cited by 164
Metadata
- Authors
- Weissgerber, T. L., Milic, N. M., Winham, S. J., & Garovic, V. D.
- Venue
- PLOS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-04-22
- Volume
- 13
- Issue
- 4
- Pages
- e1002128
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- OpenAlex
- W2039272248
- Cited by
- 710
- References
- 18
- FWCI
- 54.01
- Type
- journal article
- Language
- en
- Open access
- gold
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- Weissgerber, T. L., Milic, N. M., Winham, S. J., & Garovic, V. D. (2015). Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm. PLOS Biology. https://doi.org/10.1371/journal.pbio.1002128
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
