{
  "id": 18004362,
  "title": "Bridging Bibliometrics and Biology: A Framework for the Relevance Scoring and Biological Stratification of Scalable MeSH Co-occurrence Networks",
  "url": "https://urgent.news/2026/11/03/bridging-bibliometrics-and-biology-a-framework-for-the-relevance",
  "topic": "science",
  "section": "Science",
  "published": "2026-11-03T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.29.762716v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Systematic literature review is often limited by the rigidity of search strings, which often miss non-obvious but highly relevant topics. Controlled vocabularies such as Medical Subject Headings (MeSH) facilitate the review process, but relationships between terms, and their relevance to a hypothesis of interest, are rarely stated explicitly. Presented here is a MeSH term extraction and…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}