| _version_ |
1817985506927968256
|
| collection |
DOAJ
|
| first_indexed |
2024-04-13T23:59:02Z
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| format |
Article
|
| id |
doaj.art-1e2f0977d0b44e2083a7bf18964e3d48
|
| institution |
Directory Open Access Journal
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| issn |
1932-6203
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| language |
English
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| last_indexed |
2024-04-13T23:59:02Z
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| publishDate |
2014-01-01
|
| publisher |
Public Library of Science (PLoS)
|
| record_format |
Article
|
| series |
PLoS ONE
|
| spelling |
doaj.art-1e2f0977d0b44e2083a7bf18964e3d482022-12-22T02:23:46ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0194Correction: powerlaw: A Python Package for Analysis of Heavy-Tailed Distributionshttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4000211/?tool=EBI
|
| spellingShingle |
Correction: powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions
PLoS ONE
|
| title |
Correction: powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions
|
| title_full |
Correction: powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions
|
| title_fullStr |
Correction: powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions
|
| title_full_unstemmed |
Correction: powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions
|
| title_short |
Correction: powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions
|
| title_sort |
correction powerlaw a python package for analysis of heavy tailed distributions
|
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4000211/?tool=EBI
|