Pricing

Pay per usage

PubMed Research Intelligence

Search PubMed with official NCBI E-utilities and export article, author, journal, PMID, DOI, publication type, and biomedical topic rows.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

太郎山田

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Inputs

Field	Default	Notes
`searchTerms`	`[]`	PubMed queries such as `cancer immunotherapy`.
`pmids`	`[]`	Direct PubMed IDs to summarize.
`fromDate` / `toDate`	empty	Publication date filter, `YYYY`, `YYYY/MM`, or `YYYY/MM/DD`.
`sort`	`relevance`	`relevance`, `pub_date`, or `most_recent`.
`maxResultsPerQuery`	`25`	PMIDs retrieved for each query.
`maxArticles`	`100`	Global unique article cap.
`email`	empty	Optional NCBI contact email.
`apiKey`	empty	Optional NCBI API key for higher rate limits.
`delivery`	`dataset`	`dataset` or `webhook`.
`dryRun`	`false`	Skip dataset/webhook delivery.

At least one searchTerms or pmids value is required.

Dataset Rows

article_summary

PMID, title, journal, publication date
DOI, PMC, publication types, language
first/last author, author count
PubMed URL and NLM identifiers

author_signal

PMID, article title, author name
author order, first/last flags, author type

journal_summary

PMID, article title, journal name/abbreviation
NLM unique ID, ISSN/eISSN, publication date

Example Input

{
  "searchTerms": ["cancer immunotherapy", "GLP-1 obesity"],
  "fromDate": "2024",
  "sort": "relevance",
  "maxResultsPerQuery": 10,
  "maxArticles": 20,
  "delivery": "dataset",
  "dryRun": false
}

Local Development

npm install
npm test
node src/index.js

Limitations

V1 does not parse EFetch XML abstracts. It intentionally uses ESearch/ESummary JSON for reliable deployment without XML dependencies.
NCBI rate limits are stricter without an API key. Use email and apiKey for larger scheduled jobs.
PubMed metadata can be incomplete for very new records.

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