The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
The DDI corpus: An annotated corpus with pharmacological substances and drug–drug interactions
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Citations
Cites
A Coefficient of Agreement for Nominal Scales
Cohen, J. (1960) · Educational and Psychological Measurement · doi:10.1177/001316446002000104 · Cited by 42,398
DrugBank: a comprehensive resource for in silico drug discovery and exploration
Wishart, D. S. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj067 · Cited by 3,892
Extracting medication information from clinical text
Uzuner, Ö., Solti, I., & Cadag, E. (2010) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2010.003947 · Cited by 466
Gurulingappa, H., Rajput, A. M., Roberts, A., Fluck, J., Hofmann-Apitius, M., & Toldo, L. (2012) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2012.04.008 · Cited by 446
Segura-Bédmar, I., Martínez, P., & Herrero-Zazo, M. (2013) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · Cited by 297
Self-citationClassifying semantic relations in bioscience texts
Rosario, B., & Hearst, M. A. (2004) · Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics - ACL '04 · doi:10.3115/1218955.1219010 · Cited by 257
Comparative analysis of five protein-protein interaction corpora
Pyysalo, S., Airola, A., Heimonen, J., Björne, J., Ginter, F., & Salakoski, T. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-s3-s6 · Cited by 230
Detection, verification, and quantification of adverse drug reactions
Stricker, B. H., & Psaty, B. M. (2004) · BMJ · doi:10.1136/bmj.329.7456.44 · Cited by 221
Cited by
Domain-specific language model pretraining for biomedical natural language processing
Gu, Y., Tinn, R., Cheng, H., Lucas, M., Usuyama, N., Liu, X., Naumann, T., Gao, J., & Poon, H. (2022) · ACM Transactions on Computing for Healthcare · doi:10.1145/3458754 · Cited by 2,170
BioGPT: generative pre-trained transformer for biomedical text generation and mining
Luo, R., Sun, L., Xia, Y., Qin, T., Zhang, S., Poon, H., & Liu, T.-Y. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac409 · Cited by 1,150
Peng, Y., Yan, S., & Lu, Z. (2019) · Proceedings of the 18th BioNLP Workshop and Shared Task · doi:10.18653/v1/w19-5006 · Cited by 899
BioWordVec, improving biomedical word embeddings with subword information and MeSH
Zhang, Y., Chen, Q., Yang, Z., Lin, H., & Lu, Z. (2019) · Scientific Data · doi:10.1038/s41597-019-0055-0 · Cited by 455
A study of generative large language model for medical research and healthcare
Peng, C., Yang, X., Chen, A., Smith, K. E., PourNejatian, N., Costa, A. B., Martin, C., Flores, M. G., Zhang, Y., Magoc, T., et al. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00958-w · Cited by 408
Metadata
- Authors
- Herrero-Zazo, M., Segura-Bedmar, I., Martínez, P., & Declerck, T.
- Venue
- Journal of Biomedical Informatics
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 46
- Issue
- 5
- Pages
- 914-920
- ISSN
- 1532-0464 (ISSN-L)
- OpenAlex
- W2170189740
- Cited by
- 478
- References
- 28
- FWCI
- 6.46
- 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.
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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: The DDI corpus: An annotated corpus with pharmacological substances and drug–drug interactions. https://app.cochat.ai/papers/10.1016/j.jbi.2013.07.011
- The paper
- Herrero-Zazo, M., Segura-Bedmar, I., Martínez, P., & Declerck, T. (2013). The DDI corpus: An annotated corpus with pharmacological substances and drug–drug interactions. Journal of Biomedical Informatics. https://doi.org/10.1016/j.jbi.2013.07.011
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.
