Description:

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

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

Share

• Share on Facebook
• Share on Twitter