The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Solid-Surface Characterization by Wetting
Abstract
The current status of the theories that are required for characterization of solid surfaces by equilibrium contact angles is reviewed. Some important aspects, which are not yet completely understood, are explained and listed as future challenges. The theoretical conclusions are integrated into a methodology and technique for contact angle measurement and interpretation that avoid existing pitfalls.
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
Wettability of porous surfaces
Cassie, A. B. D., & Baxter, S. (1944) · Transactions of the Faraday Society · doi:10.1039/tf9444000546 · Cited by 13,807
RESISTANCE OF SOLID SURFACES TO WETTING BY WATER
Wenzel, R. N. (1936) · Industrial & Engineering Chemistry · doi:10.1021/ie50320a024 · Cited by 13,316
Cited by
Surface-wetting characterization using contact-angle measurements
Huhtamäki, T., Tian, X., Korhonen, J. T., & Ras, R. H. A. (2018) · Nature Protocols · doi:10.1038/s41596-018-0003-z · Cited by 965
A review on the wettability of dental implant surfaces I: Theoretical and experimental aspects
Rupp, F., Gittens, R. A., Scheideler, L., Marmur, A., Boyan, B. D., Schwartz, Z., & Geis-Gerstorfer, J. (2014) · Acta Biomaterialia · doi:10.1016/j.actbio.2014.02.040 · Cited by 507
Self-citationThe springtail cuticle as a blueprint for omniphobic surfaces
Hensel, R., Neinhuis, C., & Werner, C. (2016) · Chemical Society Reviews · doi:10.1039/c5cs00438a · Cited by 259
Dai, X., Stogin, B. B., Yang, S., & Wong, T.-S. (2015) · ACS Nano · doi:10.1021/acsnano.5b04151 · Cited by 258
Metadata
- Authors
- Marmur, A.
- Venue
- Annual Review of Materials Research
- Publisher
- Annual Reviews
- Published
- 2009-08-01
- Volume
- 39
- Issue
- 1
- Pages
- 473-489
- ISSN
- 1531-7331 (ISSN-L)
- 1545-4118
- OpenAlex
- W2098601794
- Cited by
- 244
- References
- 2
- FWCI
- 0.87
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Solid-Surface Characterization by Wetting. https://app.cochat.ai/papers/10.1146/annurev.matsci.38.060407.132425
- The paper
- Marmur, A. (2009). Solid-Surface Characterization by Wetting. Annual Review of Materials Research. https://doi.org/10.1146/annurev.matsci.38.060407.132425
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.