The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Ultrasensitive Clinical Enumeration of Rare Cells ex Vivo Using a Micro-Hall Detector
Open accessAbstract
A hybrid microfluidic/semiconductor chip analyzes single, immunomagnetically tagged ovarian cancer cells in unprocessed biological samples.
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
Bendall, S. C., Simonds, E. F., Qiu, P., Amir, E.-A. D., Krutzik, P. O., Finck, R., Bruggner, R. V., Melamed, R., Trejo, A., Ornatsky, O. I., et al. (2011) · Science · doi:10.1126/science.1198704 · Cited by 2,279
Cited by
Plaks, V., Koopman, C. D., & Werb, Z. (2013) · Science · doi:10.1126/science.1235226 · Cited by 722
Kelley, S. O., Mirkin, C. A., Walt, D. R., Ismagilov, R. F., Toner, M., & Sargent, E. H. (2014) · Nature Nanotechnology · doi:10.1038/nnano.2014.261 · Cited by 398
Magnetic sensors-A review and recent technologies
Khan, M. A., Sun, J., Li, B., Przybysz, A., & Kosel, J. (2021) · Engineering Research Express · doi:10.1088/2631-8695/ac0838 · Cited by 315
Recent Developments in Magnetic Diagnostic Systems
Lee, H., Shin, T.-H., Cheon, J., & Weissleder, R. (2015) · Chemical Reviews · doi:10.1021/cr500698d · Cited by 292
Self-citationCombining Machine Learning and Nanofluidic Technology To Diagnose Pancreatic Cancer Using Exosomes
Ko, J., Bhagwat, N., Yee, S. S., Ortiz, N., Sahmoud, A., Black, T., Aiello, N. M., McKenzie, L., O’Hara, M., Redlinger, C., et al. (2017) · ACS Nano · doi:10.1021/acsnano.7b05503 · Cited by 249
Self-citation
Metadata
- Authors
- Issadore, D., Chung, J., Shao, H., Liong, M., Ghazani, A. A., Castro, C. M., Weissleder, R., & Lee, H.
- Venue
- Science Translational Medicine
- Published
- 2012-07-04
- Volume
- 4
- Issue
- 141
- Pages
- 141ra92-141ra92
- ISSN
- 1946-6234 (ISSN-L)
- 1946-6242
- OpenAlex
- W2051551006
- Cited by
- 247
- References
- 1
- FWCI
- 15.17
- 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: Ultrasensitive Clinical Enumeration of Rare Cells ex Vivo Using a Micro-Hall Detector. https://app.cochat.ai/papers/10.1126/scitranslmed.3003747
- The paper
- Issadore, D., Chung, J., Shao, H., Liong, M., Ghazani, A. A., Castro, C. M., Weissleder, R., & Lee, H. (2012). Ultrasensitive Clinical Enumeration of Rare Cells ex Vivo Using a Micro-Hall Detector. Science Translational Medicine. https://doi.org/10.1126/scitranslmed.3003747
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.
