The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Gender- and age-related differences in heart rate dynamics: Are women more complex than men?
Open accessOverview
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
Approximate entropy as a measure of system complexity.
Pincus, S. M. (1991) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.88.6.2297 · Cited by 5,811
Self-citationAssessment of autonomic function in humans by heart rate spectral analysis
Pomeranz, B., Macaulay, R. J., Caudill, M. A., Kutz, I., Adam, D., Gordon, D., Kilborn, K. M., Barger, A. C., Shannon, D. C., Cohen, R. J., et al. (1985) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.1985.248.1.h151 · Cited by 2,876
Physiological time-series analysis: what does regularity quantify?
Pincus, S. M., & Goldberger, A. L. (1994) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.1994.266.4.h1643 · Cited by 1,315
Self-citationLoss of 'Complexity' and Aging: Potential Applications of Fractals and Chaos Theory to Senescence
Lipsitz, L. A. (1992) · JAMA · doi:10.1001/jama.1992.03480130122036 · Cited by 1,256
Self-citationEffect of Age and High Blood Pressure on Barorefiex Sensitivity in Man
Gribbin, B., Pickering, T. G., Sleight, P., & Peto, R. (1971) · Circulation Research · doi:10.1161/01.res.29.4.424 · Cited by 1,038
A regularity statistic for medical data analysis
Pincus, S. M., Gladstone, I. M., & Ehrenkranz, R. A. (1991) · Journal of Clinical Monitoring · doi:10.1007/bf01619355 · Cited by 788
Self-citationSaul, J. P., Arai, Y., Berger, R. D., Lilly, L. S., Colucci, W. S., & Cohen, R. J. (1988) · The American Journal of Cardiology · doi:10.1016/0002-9149(88)91172-1 · Cited by 706
Lipsitz, L. A., Mietus, J., Moody, G. B., & Goldberger, A. L. (1990) · Circulation · doi:10.1161/01.cir.81.6.1803 · Cited by 519
Self-citationO'Brien, I. A., O'Hare, P., & Corrall, R. J. (1986) · Heart · doi:10.1136/hrt.55.4.348 · Cited by 483
Aging and the complexity of cardiovascular dynamics
Kaplan, D. T., Furman, M. I., Pincus, S. M., Ryan, S. M., Lipsitz, L. A., & Goldberger, A. L. (1991) · Biophysical Journal · doi:10.1016/s0006-3495(91)82309-8 · Cited by 456
Self-citation
Cited by
Physiological time-series analysis using approximate entropy and sample entropy
Richman, J. S., & Moorman, J. R. (2000) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.2000.278.6.h2039 · Cited by 7,880
Heart rate variability: A review
Rajendra Acharya, U., Paul Joseph, K., Kannathal, N., Lim, C. M., & Suri, J. S. (2006) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-006-0119-0 · Cited by 2,820
Umetani, K., Singer, D. H., McCraty, R., & Atkinson, M. (1998) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(97)00554-8 · Cited by 1,145
Heart Rate Variability in Athletes
Aubert, A. E., Seps, B., & Beckers, F. (2003) · Sports Medicine · doi:10.2165/00007256-200333120-00003 · Cited by 911
Sex differences in healthy human heart rate variability: A meta-analysis
Koenig, J., & Thayer, J. F. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.03.007 · Cited by 860
Metadata
- Authors
- Ryan, S. M., Goldberger, A. L., Pincus, S. M., Mietus, J., & Lipsitz, L. A.
- Venue
- Journal of the American College of Cardiology
- Publisher
- Elsevier BV
- Published
- 1994-12
- Volume
- 24
- Issue
- 7
- Pages
- 1700-1707
- ISSN
- 0735-1097 (ISSN-L)
- OpenAlex
- W2042331002
- Cited by
- 454
- References
- 32
- FWCI
- 6.29
- Type
- journal article
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Gender- and age-related differences in heart rate dynamics: Are women more complex than men? https://app.cochat.ai/papers/10.1016/0735-1097(94)90177-5
- The paper
- Ryan, S. M., Goldberger, A. L., Pincus, S. M., Mietus, J., & Lipsitz, L. A. (1994). Gender- and age-related differences in heart rate dynamics: Are women more complex than men? Journal of the American College of Cardiology. https://doi.org/10.1016/0735-1097(94)90177-5
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.