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Disease Detection and Management via Single Nanopore-Based Sensors

Reiner, Joseph E., Balijepalli, Arvind, Robertson, Joseph W. F., Campbell, Jason, Suehle, John, Kasianowicz, John J.·2012·Chemical Reviews
DOI 10.1021/cr300381m
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ADVERTISEMENT RETURN TO ISSUEPREVReviewDisease Detection and Management via Single Nanopore-Based SensorsJoseph E. Reiner*†, Arvind Balijepalli‡§, Joseph W. F. Robertson‡, Jason Campbell‡, John Suehle‡, and John J. Kasianowicz‡View Author Information† Department of Physics, Virginia Commonwealth University, 701 W. Grace Street, Richmond, Virginia 23284, United States‡ Physical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899-8120, United States§ Laboratory of Computational Biology, National Heart Lung and Blood Institute, Rockville, Maryland 20852, United States*E-mail: [email protected]Cite this: Chem. Rev. 2012, 112, 12, 6431–6451Publication Date (Web):November 16, 2012Publication History Received13 September 2012Published online16 November 2012Published inissue 12 December 2012https://doi.org/10.1021/cr300381mCopyright © 2012 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views4621Altmetric-Citations190LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit Read OnlinePDF (14 MB) Get e-AlertsSUBJECTS:Electrical conductivity,Genetics,Ions,Molecules,Nanopores Get e-Alerts

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Metadata

Authors
Reiner, J. E., Balijepalli, A., Robertson, J. W. F., Campbell, J., Suehle, J., & Kasianowicz, J. J.
Venue
Chemical Reviews
Publisher
American Chemical Society (ACS)
Published
2012-11-16
Volume
112
Issue
12
Pages
6431-6451
ISSN
  • 0009-2665 (ISSN-L)
  • 1520-6890
DOI
10.1021/cr300381m
OpenAlex
W2315037307
Cited by
245
References
4
FWCI
1.88
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 ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Disease Detection and Management via Single Nanopore-Based Sensors. https://app.cochat.ai/papers/10.1021/cr300381m
The paper
Reiner, J. E., Balijepalli, A., Robertson, J. W. F., Campbell, J., Suehle, J., & Kasianowicz, J. J. (2012). Disease Detection and Management via Single Nanopore-Based Sensors. Chemical Reviews. https://doi.org/10.1021/cr300381m

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.