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--- |
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license: apache-2.0 |
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task_categories: |
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- text-classification |
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language: |
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- en |
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tags: |
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- biology |
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- medical |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Dataset Card for PubMed Citations Dataset |
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## Dataset Description |
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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. |
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Half of the articles have been cited within the first five years following publication, the other half has not. |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/674c3ac8df62f20ecb6c5885/j7i0xso9-2SVz68InRuxq.png" alt="image/png" width="400"/> |
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### Dataset Structure |
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- **Format:** CSV |
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- **Rows:** 20,000 entries |
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- **Columns:** 8 |
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| Column Name | Description | Type | |
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|------------------------------------|-----------------------------------------------------------------------------|---------| |
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| `pmid` | PubMed ID (unique identifier for each article) | int64 | |
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| `title` | Title of the article | string | |
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| `abstract` | Abstract text of the article | string | |
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| `journal` | Journal where the article was published | string | |
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| `pub_year` | Year of publication | int64 | |
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| `pub_month` | Month of publication | int64 | |
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| `citation_count_within_one_year` | Number of citations within 1 year of publication (from OpenCitations API) | float64 | |
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| `citation_count_within_five_years` | Number of citations within 5 years of publication (from OpenCitations API) | float64 | |
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### Example Entry |
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```json |
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{ |
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"pmid": 27466332, |
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"title": "Catecholaminergic Neuromodulation Shapes Intrinsic MRI Functional Connectivity in the Human Brain", |
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"abstract": "The brain commonly exhibits spontaneous (i.e.,...", |
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"journal": "The Journal of neuroscience", |
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"pub_year": 2016, |
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"pub_month": 7, |
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"citation_count_within_one_year": 8.0, |
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"citation_count_within_five_years": 51.0 |
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} |
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``` |
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## Source Data |
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- **Original source:** PubMed |
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- **Citation counts:** Retrieved via [OpenCitations API](https://opencitations.net/) |
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- **License:** Please check terms of use for PubMed and OpenCitations before redistribution. |
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## Intended Uses |
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- Predicting citation count based on article metadata and abstract. |
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- Studying the relationship between article content and citation patterns. |
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- Benchmarking NLP models on biomedical abstracts. |
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## Dataset Creation |
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- Articles were sampled from PubMed. |
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- Citation counts were collected using the OpenCitations API for each pmid. |
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- Data was cleaned to ensure all entries have complete fields. |
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## Data Splits |
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No predefined splits. Users may create splits (e.g., train/test/validation) as needed. |
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## Usage Example (Python/Huggingface Datasets) |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset( |
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"rudyvdbrink/CitationDatabase", |
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data_files="NeuroscienceCitationDatabase.json", |
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) |
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``` |
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## Limitations |
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- Only includes articles with complete metadata and citation data. |
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- Citation data is as provided by OpenCitations; coverage may not be exhaustive. |
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- Abstracts may contain formatting artifacts. |
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## Citation |
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If you use this dataset, please cite the authors of the articles appropriately. |
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## Contact |
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[brinkdatascience.com](https://www.brinkdatascience.com) |
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