Health Data Science's 2026 Journal Metrics Score is 5.0, ranking Q1 in Artificial Intelligence and 2 other subfields. Two-year citation average from OpenAlex data, updated August 2026.
Bookmark this page — track observed submission-to-acceptance timing, FWCI and field-normalized citation data for this journal in one view.
Journal Metrics Score 2026 · 2021–2024 window citedness 2.65.
Middle 50%: 139–230 days
54 of 54 PubMed-indexed articles · 100% coverage · 2024–2025
No journal-level APC is available in the current OpenAlex snapshot. Cost is excluded from scoring.
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Each spoke is a 0–100 percentile within a comparable journal cohort—not a percentage grade or a single black-box rating.
24 of 86 works · same type, year & subfield
3 works · same type, year & subfield
Above field-year expectation
of 475 topic-associated OpenAlex sources by lifetime output
FWCI compares papers with the same publication year, type, and field. 1.0 is the world average; above 1.0 is above expectation. This journal's median is 1.24, so its typical recent paper runs about 24% above its field benchmark.
27.9% of recent papers rank in the global top 10% after field normalization. This is easier to compare across specialties than raw citation totals.
Volume is separated from citation accumulation so newer papers are not presented as weaker simply because they are newer.
OpenAlex source records · 2021–2025
86 OpenAlex works · 2021–2024
OpenAlex topics show the research communities this journal serves.
Candidates share at least one OpenAlex subfield (or field, if too few do) with this journal's main research topics, ignoring generic catch-all topics, and are ordered by topic overlap, then current Journal Metrics Score.
* Cost is indicative only. APCs, taxes, waivers, and member discounts can change—always verify on the journal's official website.
| Category | Quartile |
|---|---|
| Artificial Intelligence | Q1 |
| Health Information Management | Q1 |
| Health Informatics | Q2 |
| Health, Toxicology and Mutagenesis | Q1 |
Yes. A Q1 journal by citation data
Yes. By citation data, Health Data Science is a strong journal: it is Q1 in Artificial Intelligence and 2 other subfields and ranks #508 of 6,272 Medicine journals by Journal Metrics Score (top 9%). Health Data Science's 2026 Journal Metrics Score is 5.0. Recent papers took a median of 187 days from submission to acceptance, according to PubMed dates. OpenAlex classifies its papers in subfields including Artificial Intelligence, Health Information Management, and Health Informatics, so check that your topic fits its scope.
Verdict from citation data only: quartile and field rank by Journal Metrics Score (OpenAlex), publisher-reported acceptance rates, and PubMed submission and acceptance dates. See how we rank journals and how to verify indexing.
Confirm the exact title and ISSNs against the publisher homepage before a high-stakes submission decision.
Source: the current OpenAlex source record. OpenAlex works can include multiple work types. Fully Open Access is a source-level flag. Recent OA Works is summed from OpenAlex's counts_by_year series (up to the latest ten years); it is not a lifetime OA percentage. Any APC shown here is an indicative OpenAlex value—verify current charges on the journal's official website.
OpenAlex classifies Health Data Science's papers in subfields including Artificial Intelligence, Health Information Management, and Health Informatics. Read the aims and scope page and a few recent papers close to your topic before you prepare the manuscript.
Article types, word and figure limits, reference style, and the required statements (data availability, ethics, conflicts of interest, author contributions) are set by the journal. Prepare the cover letter and files to match them.
Health Data Science homepage ↗Use the submit link in Health Data Science's author guidelines; American Association for the Advancement of Science runs the submission site. Every author usually needs an ORCID iD, and the corresponding author needs an account on the submission site.
The journal is fully open access, and OpenAlex has no article processing charge on record. Check the journal website for current fees and waivers.
Recent accepted papers took a median of 187 days from submission to acceptance, including revisions (PubMed dates). Health Data Science does not publish an acceptance rate.
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Yes. By citation data, Health Data Science is a strong journal: it is Q1 in Artificial Intelligence and 2 other subfields and ranks #508 of 6,272 Medicine journals by Journal Metrics Score (top 9%). Health Data Science's 2026 Journal Metrics Score is 5.0. Recent papers took a median of 187 days from submission to acceptance, according to PubMed dates. OpenAlex classifies its papers in subfields including Artificial Intelligence, Health Information Management, and Health Informatics, so check that your topic fits its scope.
Health Data Science's 2026 Journal Metrics Score is 5.0, from the August 2026 data release. The score is a two-year citation average computed from OpenAlex (CC0) data: citations received in the most recent complete year to works published in the two prior years, divided by the number of those works.
We have not found an official acceptance rate published by Health Data Science or its publisher, and Journal Metrics does not estimate one because submission counts are not public. What recent PubMed records do show is speed: accepted papers took a median of 187 days from submission to acceptance. To judge selectivity, compare Health Data Science's quartile and score with similar journals, or ask the editorial office.
Health Data Science's best quartile is Q1. By OpenAlex subfield: Q1 in Artificial Intelligence; Q1 in Health Information Management; Q2 in Health Informatics; Q1 in Health, Toxicology and Mutagenesis. Quartiles rank journals by Journal Metrics Score within each subfield.
No. Journal Metrics computes the score independently from OpenAlex open data. Other providers use different citation databases, document types, and counting rules, so their published figures for Health Data Science will not match this score exactly. Compare journals using one source at a time.
Across 54 recent PubMed records with both dates, Health Data Science took a median of 187 days from submission to acceptance; the middle half took 139–230 days. This interval includes editorial handling and revisions, so it is not the time to a first decision.
Comparable journals include Artificial Intelligence in Medicine, Biomedinformatics, Nature Machine Intelligence, and Journal of the American Medical Informatics Association. Compare their scores, acceptance times, and costs in the recommended alternatives on this page before choosing where to submit.
Submit online through the link in Health Data Science's author guidelines on the journal homepage. Before submitting, check the scope, follow the author guidelines for article type, length, and required statements, and prepare a cover letter. Accepted papers took a median of 187 days from submission to acceptance in recent PubMed records.