PubMed biomedical research velocity, annual

Name: PubMed biomedical research velocity, annual
Creator: PubMed biomedical research velocity
License: https://www.nlm.nih.gov/web_policies.html
Keywords: signals, health, research, yearly

Commercial use OKFresh

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Annual panel of biomedical publication counts from PubMed/MEDLINE (keyless NCBI E-utilities API): publications per year for 44 curated MeSH research areas over the trailing 11 completed calendar years, with year-over-year change, share of total PubMed output, and within-year rank. Track research momentum — surging fields (CRISPR, GLP-1, long COVID), stagnating ones, and post-COVID reallocation. Raw data: U.S. National Library of Medicine, PubMed (public domain, 17 U.S.C. 105).

Source: PubMed biomedical research velocity
Rows: 484
Columns: 11
Source cadence: Yearly
Last refreshed: Oct 4, 2026
Theme: health

Column	Type	Description
year	integer	Publication year (PDAT); only completed calendar years are ingested. (unit: year)
research_area	string	Display name of the curated research area (e.g. 'CRISPR-Cas Systems', 'Long COVID').
mesh_term	string	MeSH descriptor used in the E-utilities query (e.g. 'Post-Acute COVID-19 Syndrome' for Long COVID).
category	string	Research theme grouping the area (gene_editing, oncology, infectious_disease, ...).
publications	integer	Number of PubMed records indexed under the MeSH descriptor with publication date in the year (esearch count). (unit: publications)
yoy_change	integer	Year-over-year change in publications vs the previous year (same MeSH descriptor); null for the first year in the window. (unit: publications)
yoy_change_pct	float	Year-over-year fractional change (yoy_change / previous-year publications); null for the first year or when the prior year had zero publications. (unit: fraction)
share_of_pubmed_pct	float	Share of total PubMed output in the year taken by this research area (publications / PubMed annual total * 100); normalizes for overall PubMed growth. (unit: percent)
area_rank	integer	Within-year rank of the research area by publications (1 = most published). (unit: rank)
fetch_date	string	Date this snapshot was fetched (ISO date). (unit: date)
row_hash	string	Deterministic 12-hex row identity hash (year\|mesh_term).

First 10 sample rows — a preview, not the complete dataset.

year	research_area	mesh_term	category	publications	yoy_change	yoy_change_pct	share_of_pubmed_pct	area_rank	fetch_date	row_hash
2,015	Aging	Aging	aging_longevity	10,941	—	—	0.87	6	2026-10-04	4021009fe486
2,015	Alzheimer Disease	Alzheimer Disease	neurodegeneration	5,277	—	—	0.419	13	2026-10-04	8a57d8294a2c
2,015	Amyotrophic lateral sclerosis	Amyotrophic Lateral Sclerosis	neurodegeneration	1,180	—	—	0.094	24	2026-10-04	dbf5ff2b0deb
2,015	Anti-Obesity Agents	Anti-Obesity Agents	metabolic	457	—	—	0.036	33	2026-10-04	a77d2e6921be
2,015	Monoclonal antibodies	Antibodies, Monoclonal	oncology	10,685	—	—	0.849	7	2026-10-04	89e5e0b90cc5
2,015	Biomarkers	Biomarkers	precision_medicine	47,184	—	—	3.75	2	2026-10-04	209133673631
2,015	Brain-Computer Interfaces	Brain-Computer Interfaces	neurotech	442	—	—	0.035	34	2026-10-04	0635d85a602c
2,015	COVID-19 Vaccines	COVID-19 Vaccines	vaccines	0	—	—	0	42	2026-10-04	7f4fcf25638e
2,015	CRISPR-Cas Systems	CRISPR-Cas Systems	gene_editing	701	—	—	0.056	31	2026-10-04	946b7fec4c44
2,015	Cannabis	Cannabis	addiction	372	—	—	0.03	36	2026-10-04	a20854145466

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/pubmed_research_velocity/pubmed_biomedical_velocity_annual" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/pubmed_research_velocity/pubmed_biomedical_velocity_annual").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

API endpoint: https://datazimuts.com/v1/datasets/pubmed_research_velocity/pubmed_biomedical_velocity_annual

Tip: fetch /llms.txt for the full machine-readable catalog.

Cite this snapshot

Pinned to snapshot 20261004T042645Z-a9c0e50ee757 and its content hash, so readers get exactly the data you used.

APA

PubMed biomedical research velocity. (2026). PubMed biomedical research velocity, annual [Data set, snapshot 20261004T042645Z-a9c0e50ee757, sha256 a9c0e50ee757]. Datazimuts. Retrieved 2026-10-05, from https://datazimuts.com/en/datasets/pubmed_research_velocity/pubmed_biomedical_velocity_annual?snapshot=20261004T042645Z-a9c0e50ee757

BibTeX

@misc{dz_pubmed_research_velocity_pubmed_biomedic_a9c0e50e,
  title        = {{PubMed biomedical research velocity, annual}},
  author       = {{PubMed biomedical research velocity}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/pubmed_research_velocity/pubmed_biomedical_velocity_annual?snapshot=20261004T042645Z-a9c0e50ee757}},
  note         = {Snapshot 20261004T042645Z-a9c0e50ee757, sha256 a9c0e50ee75728a9dcf3351dd1979a5d39349393af71e92135f32e61f68aee7c; accessed 2026-10-05}
}

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PubMed biomedical research velocity, annual

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