impact-factor 1.1.1

Impact Factor Toolkits

最新SCI期刊影响因子查询系统

• 已更新 2024年数据
• 包含JCR分区表数据

Installation

python3 -m pip install -U 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 -i tests/IF.xlsx

# with a ncbi api_key
impact_factor build -k YOUR_NCBI_API_KEY

# use a new dbfile [*recommend*]
impact_factor -d test.db build -i tests/IF.xlsx

# without nlm_catalog
impact_factor -d test.db build -i tests/IF.xlsx -n

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