The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
A meta-analysis and systematic literature review of virtual reality rehabilitation programs
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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
Ryan, R. M., & Deci, E. L. (2000) · American Psychologist · doi:10.1037//0003-066x.55.1.68 · Cited by 54,599
THE BIG FIVE PERSONALITY DIMENSIONS AND JOB PERFORMANCE: A META‐ANALYSIS
BARRICK, M. R., & MOUNT, M. K. (1991) · Personnel Psychology · doi:10.1111/j.1744-6570.1991.tb00688.x · Cited by 8,689
Building a practically useful theory of goal setting and task motivation: A 35-year odyssey.
Locke, E. A., & Latham, G. P. (2002) · American Psychologist · doi:10.1037/0003-066x.57.9.705 · Cited by 7,766 · cited 2×
“In doing so, many theories of motivation (Locke & Latham, 2002; Steel & K€onig, 2006; Steers et al., 2004) should be applied to make specific predictions about the effect of excitement and enjoyment in VRR programs.”
BackgroundMethods of Meta-Analysis: Correcting Error and Bias in Research Findings
Schmidt, F. L., & Hunter, J. E. (2015) · doi:10.4135/9781483398105 · Cited by 5,542
Defining virtual reality: Dimensions determining telepresence
Steuer, J. (1992) · Journal of Communication · doi:10.1111/j.1460-2466.1992.tb00812.x · Cited by 5,459
Exercise, physical activity, and self-determination theory: A systematic review
Teixeira, P. J., Carraça, E. V., Markland, D., Silva, M. N., & Ryan, R. M. (2012) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-9-78 · Cited by 2,963
Self-Determination Theory Applied to Health Contexts: A Meta-Analysis
Ng, J. Y. Y., Ntoumanis, N., Thøgersen-Ntoumani, C., Deci, E. L., Ryan, R. M., Duda, J. L., & Williams, G. C. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691612447309 · Cited by 1,959
Integrating Theories of Motivation
Steel, P., & König, C. J. (2006) · Academy of Management Review · doi:10.5465/amr.2006.22527462 · Cited by 776
Toward a Taxonomy Linking Game Attributes to Learning: An Empirical Study
Bedwell, W. L., Pavlas, D., Heyne, K., Lazzara, E. H., & Salas, E. (2012) · Simulation & Gaming · doi:10.1177/1046878112439444 · Cited by 393
The effect of virtual reality gaming on dynamic balance in older adults
Rendon, A. A., Lohman, E. B., Thorpe, D., Johnson, E. G., Medina, E., & Bradley, B. (2012) · Age and Ageing · doi:10.1093/ageing/afs053 · Cited by 302
Virtual Environment Training: A New Tool for Neurorehabilitation
Holden, M. K., & Dyar, T. (2002) · Neurology Report · doi:10.1097/01253086-200226020-00003 · Cited by 168
Rostami, H. R., Arastoo, A. A., Nejad, S. J., Mahany, M. K., Malamiri, R. A., & Goharpey, S. (2012) · Neurorehabilitation · doi:10.3233/nre-2012-00804 · Cited by 83
Cited by
Dincelli, E., & Yayla, A. (2022) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2022.101717 · Cited by 490
Is clinical virtual reality ready for primetime?
Rizzo, A. “., & Koenig, S. T. (2017) · Neuropsychology · doi:10.1037/neu0000405 · Cited by 372
Clinical Virtual Reality tools to advance the prevention, assessment, and treatment of PTSD
Rizzo, A. ‘., & Shilling, R. (2017) · European Journal of Psychotraumatology · doi:10.1080/20008198.2017.1414560 · Cited by 241
A meta-analysis of virtual reality training programs for social skill development
Howard, M. C., & Gutworth, M. B. (2020) · Computers & Education · doi:10.1016/j.compedu.2019.103707 · Cited by 234
Self-citationHowes, S. C., Charles, D., Pedlow, K., Wilson, I., Holmes, D., & McDonough, S. (2019) · Journal of Enabling Technologies · doi:10.1108/jet-12-2018-0057 · Cited by 18
Metadata
- Authors
- Howard, M. C.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2017-05
- Volume
- 70
- Pages
- 317-327
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2569425949
- Cited by
- 484
- References
- 12
- FWCI
- 4.85
- Type
- journal article
- Language
- en
- Open access
- closed
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 ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.
