Implement DOI citation tracking system using Crossref and Google Scholar APIs

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I've implemented a DOI citation analysis system using Python, creating a Jupyter notebook that utilizes both Crossref and Google Scholar APIs to track citation metrics. The notebook includes a function check_doi_citations that processes a list of DOIs and retrieves citation counts from both services. I've tested it with three specific Zenodo DOIs and exported the results to a CSV file for easy reference. The implementation is straightforward and modular, making it easy to analyze different sets of DOIs in the future.

• doi_citations.csv CSV file containing citation counts from Crossref and Google Scholar for the specified DOIs.

• doi_citation_analysis.ipynb Created a new Jupyter notebook implementing DOI citation analysis using scholarly and crossref APIs.

• requirements.txt No changes needed as required packages were already present.

closes #141

[haesleinhuepf]

git-bob implement that it also checks citations of "10.1038/s41592-019-0650-1"

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I added functionality to track citations for the Nature Methods paper DOI (10.1038/s41592-019-0650-1) alongside the existing Zenodo DOIs. The changes were straightforward - I updated the DOI list in the Jupyter notebook and ran the citation analysis, which resulted in finding 513 citations from Google Scholar for this paper. The existing citation tracking functionality using both Crossref and Google Scholar APIs remained unchanged, maintaining the same reliable approach for gathering citation metrics.

• doi_citations.csv Updated citation data to include Google Scholar citations (513) for the Nature Methods paper.

• doi_citation_analysis.ipynb Added the Nature Methods paper DOI to the list of DOIs for citation analysis.