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Dangerous query method (method whose arguments are used as raw SQL) called with non-attribute argument(s): ", random()".This method should not be called with user-provided values, such as request parameters or model attributes. Known-safe values can be passed by wrapping them in Arel.sql().
LitCovid-docs  
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Project info

Updated at 2021-01-12

A comprehensive literature resource on the subject of Covid-19 is collected by NCBI:
https://www.ncbi.nlm.nih.gov/research/coronavirus/

The LitCovid project@PubAnnotation is a collection of the titles and abstracts of the LitCovid dataset, for the people who want to perform text mining analysis. Please note that if you produce some annotation to the documents in this project, and contribute the annotation back to PubAnnotation, it will become publicly available together with contribution from other people.

If you want to contribute your annotation to PubAnnotation, please refer to the documentation page:
http://www.pubannotation.org/docs/submit-annotation/

  • The list of the PMID is sourced from here
  • The 6 entries of the following PMIDs could not be included because they were not available from PubMed:
    32161394, 32104909, 32090470, 32076224, 32161394 32188956, 32238946.
Below is a notice from the original LitCovid dataset:
                           PUBLIC DOMAIN NOTICE
               National Center for Biotechnology Information

  This software/database is a "United States Government Work" under the
  terms of the United States Copyright Act.  It was written as part of
  the author's official duties as a United States Government employee and
  thus cannot be copyrighted.  This software/database is freely available
  to the public for use. The National Library of Medicine and the U.S.
  Government have not placed any restriction on its use or reproduction.

  Although all reasonable efforts have been taken to ensure the accuracy
  and reliability of the software and data, the NLM and the U.S.
  Government do not and cannot warrant the performance or results that
  may be obtained by using this software or data. The NLM and the U.S.
  Government disclaim all warranties, express or implied, including
  warranties of performance, merchantability or fitness for any particular
  purpose.

  Please cite the authors in any work or product based on this material :
  Chen Q, Allot A, & Lu Z. (2020) Keep up with the latest coronavirus research, Nature 579:193

Updated at 2023-11-28 12:26:19 UTC
Status Testing
Maintainer Jin-Dong Kim
License unknown
Documents (95,990)
PubMed 59.2 K
PMC 36.8 K
Annotations (18)
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