https://github.com/suqingdong/impact_factor

2025最新SCI期刊影响因子查询系统
https://github.com/suqingdong/impact_factor

impact-factor sci

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2025最新SCI期刊影响因子查询系统

• Host: GitHub
• URL: https://github.com/suqingdong/impact_factor
• Owner: suqingdong
• Created: 2020-08-21T06:54:02.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2025-11-25T02:26:16.000Z (7 months ago)
• Last Synced: 2025-11-28T12:40:12.953Z (7 months ago)
• Topics: impact-factor, sci
• Language: Python
• Homepage: https://suqingdong.github.io/impact_factor/
• Size: 6.84 MB
• Stars: 38
• Watchers: 0
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7539859.svg)](https://doi.org/10.5281/zenodo.7539859)

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# ***最新SCI期刊影响因子查询系统***

- *已更新 **2025年数据***

- *包含JCR分区表数据*

- *包含中科院分区表数据*

## Installation

```bash

python3 -m pip install -U impact_factor

```

## Use in CMD

```bash

impact_factor -h

```

![](https://suqingdong.github.io/impact_factor/src/help.png)

### `build`

> build/update the database

```bash

# 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`

```bash

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

```

![](https://suqingdong.github.io/impact_factor/src/search.png)

### `filter`

> filter `factor` with `min_value` and `max_value`

```bash

impact_factor filter -m 100 -M 200 --color

# output with pubmed filter format

impact_factor filter -m 100 -M 200 --pubmed-filter

```

![](https://suqingdong.github.io/impact_factor/src/filter.png)

## Use in Python

```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