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impactfactor 1.1.0
最新SCI期刊影响因子查询系统
已更新2022年数据
包含JCR分区表数据
Installation
python3 -m pip -U install impact_factor
Use in CMD
impact_factor -h
build
build/update the database
# optional, only required when you need build or update the database
impact_factor build
# with api_key
impact_factor build -k YOUR_NCBI_API_KEY
search
search with journal, journal_abbr, issn, eissn or nlm_id
impact_factor search nature # search journal
impact_factor search 'nature c%' # like search journal
impact_factor search 0028-0836 # search ISSN
impact_factor search 1476-4687 # search eISSN
impact_factor search 0410462 # search nlm_id
impact_factor search nature --color # colorful output
filter
filter factor with min_value and max_value
impact_factor filter -m 100 -M 200 --color
# output with pubmed filter format
impact_factor filter -m 100 -M 200 --pubmed-filter
Use in Python
from impact_factor.core import Factor
fa = Factor()
print(fa.dbfile)
fa.search('nature')
fa.search('nature c%')
fa.filter(min_value=100, max_value=200)
fa.filter(min_value=100, max_value=200, pubmed_filter=True)
Documents
https://impact-factor.readthedocs.io
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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