The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
TREC genomics special issue overview
Open accessOverview
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
Reducing Workload in Systematic Review Preparation Using Automated Citation Classification
Cohen, A. M., Hersh, W. R., Peterson, K., & Yen, P.-Y. (2006) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1929 · Cited by 411
Self-citationPubMed related articles: a probabilistic topic-based model for content similarity
Lin, J., & Wilbur, W. J. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-423 · Cited by 243
Cited by
Tsatsaronis, G., Balikas, G., Malakasiotis, P., Partalas, I., Zschunke, M., Alvers, M. R., Weissenborn, D., Krithara, A., Petridis, S., Polychronopoulos, D., et al. (2015) · BMC Bioinformatics · doi:10.1186/s12859-015-0564-6 · Cited by 598
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
Shin, H.-C., Roberts, K., Lu, L., Demner-Fushman, D., Yao, J., & Summers, R. M. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.274 · Cited by 373
Information retrieval and text mining technologies for chemistry
Krallinger, M., Rabal, O., Lourenço, A., Oyarzabal, J., & Valencia, A. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00851 · Cited by 281
Best Match: New relevance search for PubMed
Fiorini, N., Canese, K., Starchenko, G., Kireev, E., Kim, W., Miller, V., Osipov, M., Kholodov, M., Ismagilov, R., Mohan, S., et al. (2018) · PLOS Biology · doi:10.1371/journal.pbio.2005343 · Cited by 175
Cohen, K. B., Johnson, H. L., Verspoor, K., Roeder, C., & Hunter, L. E. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-492 · Cited by 174
Metadata
- Authors
- Hersh, W., & Voorhees, E.
- Venue
- Information Retrieval
- Published
- 2008-12-01
- Volume
- 12
- Issue
- 1
- Pages
- 1-15
- ISSN
- 1386-4564 (ISSN-L)
- 1573-7659
- OpenAlex
- W2114453188
- Cited by
- 180
- References
- 2
- FWCI
- 3.23
- Type
- journal article
- Language
- en
- Open access
- bronze
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: TREC genomics special issue overview. https://app.cochat.ai/papers/10.1007/s10791-008-9076-6
- The paper
- Hersh, W., & Voorhees, E. (2009). TREC genomics special issue overview. Information Retrieval. https://doi.org/10.1007/s10791-008-9076-6
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.