Skip to main content

Review Scripts

The following scripts are designed to facilitate the automated analysis of data exported from the Web of Science (WoS) database.

Usage

The different scripts can be utilized according to specific analytical requirements.

python <file>.py

File Concatenation

The script concatenate_xlsx.py merges multiple Excel spreadsheets into a single consolidated table. Please ensure that the input tables have an identical structure to enable accurate concatenation. This script is particularly useful for aggregating multiple XLSX files exported from WoS.

Ordering

The script ordering.py allows for the sorting and filtering of records based on user-defined criteria, with the final output provided in XLSX format.

Highlighting

The scripts script_highlight.py and script_highlight_excel.py are used to highlight specified keywords from an Excel file. The output is generated in different formats: DOCX for script_highlight.py and XLSX for script_highlight_excel.py.

Full Article Analysis

The script analyse_articles_doi.py retrieves full-text articles from the web based on DOIs listed in an Excel file. It subsequently highlights relevant terms within the full text of these articles, similar to the functionality provided by the other highlighting scripts.

Metadata

Release files for autoreview-ufz-VS 1.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for autoreview-ufz-VS 1.0.2
File Size Uploaded Provenance Actions
autoreview-ufz-VS-1.0.2.tar.gz 21.9 kB Without provenance Details for autoreview-ufz-VS-1.0.2.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for autoreview-ufz-VS 1.0.2
File Interpreter ABI Platform Actions
autoreview_ufz_VS-1.0.2-py3-none-any.whl Python 3 none any Details for autoreview_ufz_VS-1.0.2-py3-none-any.whl

Total release size: 46.3 kB

Release files / autoreview-ufz-VS-1.0.2.tar.gz

Download URL autoreview-ufz-VS-1.0.2.tar.gz
Size 21.9 kB
Tags Source
SHA-256 checksum
How to use checksums
5ada5ee394e540b62be7c9320deb2bc0d2db20de92f6261ef5b89fffaa646fa6
BLAKE2b-256 checksum
How to use checksums
f260ca63656e4f035be6f3f8c9e8031a250d462874e500a62974a0d27cc0d5ad
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.9.19

Release files / autoreview_ufz_VS-1.0.2-py3-none-any.whl

Download URL autoreview_ufz_VS-1.0.2-py3-none-any.whl
Size 24.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
bcf7b6b69ae68a46f2c7c0e658448a6e0a4750f11791fa9adc4778e1d8f899c3
BLAKE2b-256 checksum
How to use checksums
ce0e90823c90cfbf57d59f9297b6a16e42ce3874fee7ade8f6b22fefed621224
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.9.19

Security for autoreview-ufz-VS 1.0.2

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page