bibcodex
Library to access, analyze, and display bibliographic information.
Installation
pip install bibcodex
Examples
Import the pandas and bibcodex together and load a dataframe:
import bibcodex
import pandas as pd
# You should always cast your search variables (pmid, doi) to str.
df = pd.read_csv("data/sample_data.csv", dtype={'pmid':str})
Valid download methods are: icite, doi2pmid, semanticScholar, or pubmed:
# Set the index to search query
df = df.set_index("doi")
# Download the information, and combine it with the original dataframe:
info = df.bibcodex.download('semanticScholar')
print(df.combine_first(info[["title"]]))
"""
doi title
10.1001/jama.2017.18444 Progressive Massive Fibrosis in Coal Miners Fr...
10.1001/jama.2018.0126 Birth Defects Potentially Related to Zika Viru...
10.1001/jama.2018.0708 Association Between Estimated Cumulative Vacci...
10.1001/jama.2018.10488 Electronic Cigarette Sales in the United State...
"""
All search queries are cached locally in ./cache. To clear the cache use:
df.codex.clear()
| API | Returned fields |
|---|---|
pubmed |
title, issue, pages, abstract, journal, authors, pubdate, mesh_terms, publication_types, chemical_list, keywords, doi, references, delete, languages, vernacular_title, affiliations, pmc, other_id, medline_ta, nlm_unique_id, issn_linking, country |
semanticScholar |
abstract, arxivId, authors, citationVelocity, citations, corpusId, fieldsOfStudy, influentialCitationCount, isOpenAccess, isPublisherLicensed, is_open_access, is_publisher_licensed, numCitedBy, numCiting, paperId, references, s2FieldsOfStudy, title, topics, url, venue, year |
icite |
year, title, authors, journal, is_research_article, relative_citation_ratio, nih_percentile, human, animal, molecular_cellular, apt, is_clinical, citation_count, citations_per_year, expected_citations_per_year, field_citation_rate, provisional, x_coord, y_coord, cited_by_clin, cited_by, references, doi |
doi2pmid |
live, status, errmsg, pmcid, pmid, versions |
Roadmap
- API access: Pubmed (Parsed MEDLINE data)
- API access: Semantic Scholar (PMID)
- API access: iCite
- API access: Semantic Scholar (DOI)
- API access: DOI to PMID NLM www.ncbi.nlm.nih.gov/pmc/tools/idconv/
- API access: Pubmed (XML)
- API access: arXiv
- API access: CoLIL
- API access, validation of input
- API access, multi item requests
- API access, chunking
- API access, include status_code in download results
- API access, better error handling
- API caching, clearing
- Codex, validate PMID
- Codex, validate DOI
- Codex, build dataframe from items
- Testing harness
- Full testing coverage
- Code linting
- pypi library
- README with examples
- Status bar for long downloads
- Embedding functions (SPECTER)
- Clustering
- Visualization (streamlit)
Development
Built with ❤ ️by @metasemantic. Package is linted by black and conforms to standards by flake8. Pull requests accepted, but please provide tests with full coverage for new code.
Metadata
Release files for bibcodex 1.1.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bibcodex-1.1.7.tar.gz | 29.6 kB | Details |
Release files / bibcodex-1.1.7.tar.gz
| Download URL | bibcodex-1.1.7.tar.gz |
|---|---|
| Size | 29.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e95bc28a5c203b8ea5125918554500c42872a7d5a0dcfaf50ed5f937aa482ec7
|
|
BLAKE2b-256 checksum How to use checksums |
22bd23e4ad603c5adbda3050c10dd0735db0d0fdb1b9f6f0fdfb054e8a99416c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.9.0
|