---
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. 

<img src="https://cdn-uploads.huggingface.co/production/uploads/674c3ac8df62f20ecb6c5885/j7i0xso9-2SVz68InRuxq.png" alt="image/png" width="400"/>

### 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

```json
{
  "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](https://opencitations.net/)
- **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)

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

## Limitations

- Only includes articles with complete metadata and citation data.
- Citation data is as provided by OpenCitations; coverage may not be exhaustive.
- Abstracts may contain formatting artifacts.

## Citation

If you use this dataset, please cite the authors of the articles appropriately.

## Contact

[brinkdatascience.com](https://www.brinkdatascience.com)