gcCov: Linked open data for global coronavirus studies.
- DOI
- 10.1002/mlf2.12008
- Published
- 2022 Mar
- Container
- mLife
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1002/mlf2.12008,
title = {gcCov: Linked open data for global coronavirus studies.},
author = {Shi W and Fan G and Shen Z and Hu C and Ma J and Zhou Y and Meng Z and Hu S and Bi Y and Wang L and Yu H and Lin S and Sun X and Zhang X and Liu D and Sun Q and Wu L},
year = {2022},
journal = {mLife},
doi = {10.1002/mlf2.12008},
url = {https://doi.org/10.1002/mlf2.12008}
}RIS
TY - JOUR TI - gcCov: Linked open data for global coronavirus studies. AU - Shi W AU - Fan G AU - Shen Z AU - Hu C AU - Ma J AU - Zhou Y AU - Meng Z AU - Hu S AU - Bi Y AU - Wang L AU - Yu H AU - Lin S AU - Sun X AU - Zhang X AU - Liu D AU - Sun Q AU - Wu L PY - 2022 JO - mLife DO - 10.1002/mlf2.12008 UR - https://doi.org/10.1002/mlf2.12008 ER -
APA
W, S., G, F., Z, S., C, H., J, M., Y, Z., Z, M., S, H., Y, B., L, W., H, Y., S, L., X, S., X, Z., D, L., Q, S., & L, W. (2022). gcCov: Linked open data for global coronavirus studies.. mLife. https://doi.org/10.1002/mlf2.12008
Source records
- pubmed · retrieved 2026-09-25T14:28:26.631Z