The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Strongly Coupled Chameleon Fields: New Horizons in Scalar Field Theory
Open accessAbstract
We show that, as a result of nonlinear self-interactions, scalar field theories that couple to matter much more strongly than gravity are not only viable but could well be detected by a number of future experiments provided that they are properly designed to do so.
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
A test of general relativity using radio links with the Cassini spacecraft
Bertotti, B., Iess, L., & Tortora, P. (2003) · Nature · doi:10.1038/nature01997 · Cited by 2,017
Cited by
Beyond the cosmological standard model
Joyce, A., Jain, B., Khoury, J., & Trodden, M. (2015) · Physics Reports · doi:10.1016/j.physrep.2014.12.002 · Cited by 1,231
Screening Long-Range Forces through Local Symmetry Restoration
Hinterbichler, K., & Khoury, J. (2010) · Physical Review Letters · doi:10.1103/physrevlett.104.231301 · Cited by 689
Constrainingf(R)gravity as a scalar-tensor theory
Faulkner, T., Tegmark, M., Bunn, E. F., & Mao, Y. (2007) · Physical Review D · doi:10.1103/physrevd.76.063505 · Cited by 388
Particle-Physics Implications of a Recent Test of the Gravitational Inverse-Square Law
Adelberger, E. G., Heckel, B. R., Hoedl, S., Hoyle, C. D., Kapner, D. J., & Upadhye, A. (2007) · Physical Review Letters · doi:10.1103/physrevlett.98.131104 · Cited by 388
Burrage, C., & Sakstein, J. (2018) · Living Reviews in Relativity · doi:10.1007/s41114-018-0011-x · Cited by 366
Metadata
- Authors
- Mota, D. F., & Shaw, D. J.
- Venue
- Physical Review Letters
- Publisher
- American Physical Society (APS)
- Published
- 2006-10-11
- Volume
- 97
- Issue
- 15
- Pages
- 151102-151102
- ISSN
- 0031-9007 (ISSN-L)
- 1079-7114
- OpenAlex
- W2001777179
- Cited by
- 201
- References
- 1
- FWCI
- 11.76
- Type
- journal article
- Language
- en
- Open access
- green
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: Strongly Coupled Chameleon Fields: New Horizons in Scalar Field Theory. https://app.cochat.ai/papers/10.1103/physrevlett.97.151102
- The paper
- Mota, D. F., & Shaw, D. J. (2006). Strongly Coupled Chameleon Fields: New Horizons in Scalar Field Theory. Physical Review Letters. https://doi.org/10.1103/physrevlett.97.151102
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.
