Open Access
Ten simple rules for initial data analysis
1
Novartis, Basel, Switzerland
|
3
Publication type: Journal Article
Publication date: 2022-02-24
scimago Q1
wos Q1
SJR: 1.503
CiteScore: 7.2
Impact factor: 3.6
ISSN: 1553734X, 15537358
PubMed ID:
35202399
Molecular Biology
Genetics
Computational Theory and Mathematics
Cellular and Molecular Neuroscience
Ecology, Evolution, Behavior and Systematics
Ecology
Modeling and Simulation
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Metrics
34
Total citations:
34
Citations from 2024:
22
(64.71%)
Cite this
GOST |
RIS |
BibTex |
MLA
Cite this
GOST
Copy
Baillie M. et al. Ten simple rules for initial data analysis // PLoS Computational Biology. 2022. Vol. 18. No. 2. p. e1009819.
GOST all authors (up to 50)
Copy
Baillie M., le Cessie S., Schmidt C. H., Lusa L., Huebner M. Ten simple rules for initial data analysis // PLoS Computational Biology. 2022. Vol. 18. No. 2. p. e1009819.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1371/journal.pcbi.1009819
UR - https://doi.org/10.1371/journal.pcbi.1009819
TI - Ten simple rules for initial data analysis
T2 - PLoS Computational Biology
AU - Baillie, Mark
AU - le Cessie, Saskia
AU - Schmidt, Carsten H.
AU - Lusa, Lara
AU - Huebner, M.
PY - 2022
DA - 2022/02/24
PB - Public Library of Science (PLoS)
SP - e1009819
IS - 2
VL - 18
PMID - 35202399
SN - 1553-734X
SN - 1553-7358
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2022_Baillie,
author = {Mark Baillie and Saskia le Cessie and Carsten H. Schmidt and Lara Lusa and M. Huebner},
title = {Ten simple rules for initial data analysis},
journal = {PLoS Computational Biology},
year = {2022},
volume = {18},
publisher = {Public Library of Science (PLoS)},
month = {feb},
url = {https://doi.org/10.1371/journal.pcbi.1009819},
number = {2},
pages = {e1009819},
doi = {10.1371/journal.pcbi.1009819}
}
Cite this
MLA
Copy
Baillie, Mark, et al. “Ten simple rules for initial data analysis.” PLoS Computational Biology, vol. 18, no. 2, Feb. 2022, p. e1009819. https://doi.org/10.1371/journal.pcbi.1009819.