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rudyvdbrink
/

CitationDatabase

Tasks:

Text Classification

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metadata

license: apache-2.0
task_categories:
  - text-classification
language:
  - en
tags:
  - biology
  - medical
size_categories:
  - 10K<n<100K

Dataset Card for PubMed Citations Dataset

Dataset Description

This dataset contains metadata and citation information for 20,000 neuroscience-related articles indexed by PubMed. The data is intended for tasks related to bibliometrics, scientific impact prediction, citation analysis, and natural language processing on biomedical literature.

Half of the articles have been cited within the first five years following publication, the other half has not.

Dataset Structure

Format: CSV
Rows: 20,000 entries
Columns: 8

Column Name	Description	Type
`pmid`	PubMed ID (unique identifier for each article)	int64
`title`	Title of the article	string
`abstract`	Abstract text of the article	string
`journal`	Journal where the article was published	string
`pub_year`	Year of publication	int64
`pub_month`	Month of publication	int64
`citation_count_within_one_year`	Number of citations within 1 year of publication (from OpenCitations API)	float64
`citation_count_within_five_years`	Number of citations within 5 years of publication (from OpenCitations API)	float64

Example Entry

{
  "pmid": 27466332,
  "title": "Catecholaminergic Neuromodulation Shapes Intrinsic MRI Functional Connectivity in the Human Brain",
  "abstract": "The brain commonly exhibits spontaneous (i.e.,...",
  "journal": "The Journal of neuroscience",
  "pub_year": 2016,
  "pub_month": 7,
  "citation_count_within_one_year": 8.0,
  "citation_count_within_five_years": 51.0
}

Source Data

Original source: PubMed
Citation counts: Retrieved via OpenCitations API
License: Please check terms of use for PubMed and OpenCitations before redistribution.

Intended Uses

Predicting citation count based on article metadata and abstract.
Studying the relationship between article content and citation patterns.
Benchmarking NLP models on biomedical abstracts.

Dataset Creation

Articles were sampled from PubMed.
Citation counts were collected using the OpenCitations API for each pmid.
Data was cleaned to ensure all entries have complete fields.

Data Splits

No predefined splits. Users may create splits (e.g., train/test/validation) as needed.

Usage Example (Python/Huggingface Datasets)

from datasets import load_dataset
dataset = load_dataset(
    "rudyvdbrink/CitationDatabase", 
    data_files="NeuroscienceCitationDatabase.json",
)