The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Graphene Oxide: Structural Analysis and Application as a Highly Transparent Support for Electron Microscopy
Abstract
We report on the structural analysis of graphene oxide (GO) by transmission electron microscopy (TEM). Electron diffraction shows that on average the underlying carbon lattice maintains the order and lattice-spacings of graphene; a structure that is clearly resolved in 80 kV aberration-corrected atomic resolution TEM images. These results also reveal that single GO sheets are highly electron transparent and stable in the electron beam, and hence ideal support films for the study of nanoparticles and macromolecules by TEM. We demonstrate this through the structural analysis of physiological ferritin, an iron-storage protein.
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
Electric Field Effect in Atomically Thin Carbon Films
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Zhang, Y., Dubonos, S. V., Grigorieva, I. V., & Firsov, A. A. (2004) · Science · doi:10.1126/science.1102896 · Cited by 66,834
Geim, A. K., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1849 · Cited by 39,979
Cited by
Mechanical Properties of Monolayer Graphene Oxide
Suk, J. W., Piner, R. D., An, J., & Ruoff, R. S. (2010) · ACS Nano · doi:10.1021/nn101781v · Cited by 1,194
Konicki, W., Aleksandrzak, M., Moszyński, D., & Mijowska, E. (2017) · Journal of Colloid and Interface Science · doi:10.1016/j.jcis.2017.02.031 · Cited by 435
Metadata
- Authors
- Wilson, N. R., Pandey, P. A., Beanland, R., Young, R. J., Kinloch, I. A., Gong, L., Liu, Z., Suenaga, K., Rourke, J. P., York, S. J., & Sloan, J.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-08-18
- Volume
- 3
- Issue
- 9
- Pages
- 2547-2556
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2098821528
- Cited by
- 745
- References
- 2
- FWCI
- 24.38
- 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: Graphene Oxide: Structural Analysis and Application as a Highly Transparent Support for Electron Microscopy. https://app.cochat.ai/papers/10.1021/nn900694t
- The paper
- Wilson, N. R., Pandey, P. A., Beanland, R., Young, R. J., Kinloch, I. A., Gong, L., Liu, Z., Suenaga, K., Rourke, J. P., York, S. J., & Sloan, J. (2009). Graphene Oxide: Structural Analysis and Application as a Highly Transparent Support for Electron Microscopy. ACS Nano. https://doi.org/10.1021/nn900694t
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.