Indexed in Journament
ieee journal of biomedical and health informatics
ISSN 2168-2208· EN
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32.1
050100
The Journament Score is computed from platform statistics — reader engagement,
accessibility, publication timeliness, keyword breadth, community impact and content
distribution — into a single 0–100 figure, recalculated as new articles and metadata
are indexed. Dimensions that cannot be measured for this journal are excluded rather
than estimated. It is independent of the paid AI Quality Analysis, which never
affects this score or the ranking.
Full methodology →
About This Journal
| Short Name | ieee j biomed health inform |
|---|---|
| Abbreviated Name | ieee j biomed health inform |
| ISSN | 2168-2208 |
| URL | http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6221020 |
Quality Profile
7 of 12 dimensions measured
This journal
Average of scored journals
Platform statistics — the free Journament Score
AI Quality Analysis — separate paid product, ranks nothing
5 of the 12 dimensions could not be measured for this journal. They are left as gaps in the shape rather than plotted as zero.
Show the numbers
| Dimension | This journal | Corpus average |
|---|---|---|
| Engagement | 30.6 | 30.1 |
| Accessibility | 20.0 | 17.9 |
| Timeliness | 0.0 | 19.2 |
| Diversity | 11.1 | 28.8 |
| Innovation | 70.0 | 31.2 |
| Community Impact | 11.4 | 13.4 |
| Content Distribution | 77.7 | 88.4 |
| Content Quality | — | 55.5 |
| Ethics & Transparency | — | 40.2 |
| Editorial Standards | — | 33.4 |
| Publication Regularity | — | 53.2 |
| Geographic Reach | — | 30.8 |
Publications Per Year
Articles (15)
2019
2020
Vol. 24
, No. 4
, pp. 1046-1058
466 views
DOI
Abstract
2020
430 views
DOI
Abstract
2020
429 views
DOI
Abstract
2016
Vol. 20
, No. 4
, pp. -
421 views
Abstract
2020
367 views
DOI
Abstract
2020
358 views
DOI
Abstract
2019
A Two-Stage Model to Predict Surgical Patients' Lengths of Stay From an Electronic Patient Database.
Vol. 23
, No. 2
, pp. 848-856
349 views
DOI
Abstract
2020
Vol. PP
249 views
DOI
Abstract
2020
Vol. 24
, No. 4
, pp. 1046-1058
466 views
DOI
Abstract
2020
358 views
DOI
Abstract
2020
429 views
DOI
Abstract
2020
430 views
DOI
Abstract
2020
367 views
DOI
Abstract
2019
287 views
DOI
Abstract
2019
A Two-Stage Model to Predict Surgical Patients' Lengths of Stay From an Electronic Patient Database.
Vol. 23
, No. 2
, pp. 848-856
349 views
DOI
Abstract