Indexed in Journament

Studies in health technology and informatics

ISSN 0926-9630· EN

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48.7 / 100
Journament Score
Below Average
Ranked #143 of 29,330 scored journals (33,995 indexed)
170 Articles
Scores higher than 99.5% of scored journals
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 Stud Health Technol Inform
Abbreviated Name stud health technol inform
ISSN 0926-9630
URL https://www.iospress.nl/bookserie/studies-in-health-technology-and-informatics

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
Journament quality dimensions for Studies in health technology and informatics
Dimension This journal Corpus average
Engagement 30.8 30.3
Accessibility 20.0 18.3
Timeliness 60.0 12.6
Diversity 68.7 27.3
Innovation 70.0 28.9
Community Impact 10.0 9.7
Content Distribution 74.0 88.5
Content Quality 55.5
Ethics & Transparency 40.2
Editorial Standards 33.4
Publication Regularity 53.2
Geographic Reach 30.8

Publications Per Year

Articles (170)

2019
Digital Literacy Program for the Use of Social Media, Aimed at Health Professionals.
Vol. 264 , pp. 1895-1896
458 views DOI Abstract
2019
Exploring the Discrepancies in Actual and Perceived Benefits of Dietary Supplements Among Obese Patients.
Vol. 264 , pp. 1474-1475
447 views DOI Abstract
2019
Improving Mechanical Ventilator Clinical Decision Support Systems with a Machine Learning Classifier for Determining Ventilator Mode.
Vol. 264 , pp. 318-322
438 views DOI Abstract
2019
Developing Customizable Cancer Information Extraction Modules for Pathology Reports Using CLAMP.
Vol. 264 , pp. 1041-1045
418 views DOI Abstract
2019
Estimating the Health-Related Quality of Life of Twitter Users Using Semantic Processing.
Vol. 264 , pp. 1065-1069
415 views DOI Abstract
2019
Development of ICT-Based Comprehensive Health and Social-Needs Assessment System to Enhance Person-Centered Community Care.
Vol. 264 , pp. 1694-1695
410 views DOI Abstract
2019
Examining Reproducibility of Literature Search in Meta-Analysis.
Vol. 264 , pp. 228-232
408 views DOI Abstract
2019
Design and Pilot Testing of an English and Spanish Behavioral Health Patient Survey on Data Privacy.
Vol. 264 , pp. 1891-1892
405 views DOI Abstract
2025
Exploring the User Experience of Generative AI in Digital Health: A Rapid Review.
Vol. 326 , pp. 12-16
91 views DOI Abstract
2025
User-Centered Methods in Explainable AI Development for Hospital Clinical Decision Support: A Scoping Review.
Vol. 326 , pp. 17-21
92 views DOI Abstract
2022
Toward an Inclusive and Independent Fruition of Architecture: The Use of Scale Models and Augmented Reality.
Vol. 297 , pp. 383-390
120 views DOI Abstract
2022
Web Quality Assurance of Information in Healthcare
Vol. 295 , pp. 442-445
101 views DOI Abstract
2022
Digital Medical Interview Assistant for Radiology: Opportunities and Challenges.
Vol. 293 , pp. 39-46
181 views DOI Abstract
2020
Accessibility and web quality information for people with disabilities in healthcare structures
Vol. 272 , pp. 306-309
77 views DOI Abstract
2020
Document Oriented Graphical Analysis and Prediction.
Vol. 270 , pp. 183-187
246 views DOI Abstract
2020
Towards Intelligent Integration and Sharing of Stem Cell Research Data.
Vol. 272 , pp. 334-337
268 views DOI Abstract
2020
Journament Score
48.7/100 · Below Average
Ranked #143 of 29,330 scored
(33,995 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.

Overall Quality Score

48.7/100

Tier: Below Average

The Journament Overall Quality Score is a comprehensive metric that evaluates academic journals across multiple dimensions including engagement, accessibility, diversity, innovation, and community impact.

This score helps researchers, institutions, and publishers understand the holistic quality and impact of a journal beyond traditional metrics.

Engagement Score

30.8/100

Measures user interactions, views, citations, and community involvement with this journal's content.

Higher engagement scores indicate that the journal's content is actively being read, cited, and discussed within the academic community.

Accessibility Score

20.0/100

Evaluates how easily researchers can access journal content, including open access availability, ISSN registration, and indexing.

This metric considers factors such as paywalls, open access policies, and availability across different academic databases and search engines.

Diversity Score

68.7/100

Assesses geographic and institutional diversity of authors, editorial board composition, and topic breadth.

A diverse journal publishes work from various geographic regions, institutions, and covers a broad range of topics within its field.

Innovation Score

70.0/100

Evaluates research novelty, interdisciplinary work, and emerging topics based on AI analysis of article abstracts.

This score reflects how much the journal publishes cutting-edge research, explores new methodologies, and bridges different academic disciplines.

Community Impact Score

10.0/100

Measures scholarly contribution and real-world applications of published research.

This metric evaluates how the journal's research translates into practical applications, policy changes, and benefits to society beyond academia.

Timeliness Score

60.0/100

Evaluates recent publication activity, publication frequency, and currency of research topics.

Higher scores indicate consistent publishing schedules and timely coverage of current research trends.

Content Distribution

74.0/100

Measures how evenly reader attention spreads across the journal's articles, using the Gini coefficient of article clicks.

Higher scores mean readership is distributed across many articles rather than concentrated on one or two.

Ethics & Transparency Score

Not yet measured

Research Integrity (10% weight)

Assesses COPE standards compliance, ethical considerations in research, transparency in methodologies, and reproducibility practices.

This metric ensures the journal maintains high ethical standards and promotes transparent, trustworthy research.

Content Quality Score

Not yet measured

Academic Rigor (20% weight) + Methodology Quality (12%)

Evaluates research methodology soundness, statistical rigor, theoretical framework strength, appropriateness of research methods, data quality, and clarity & readability.

This comprehensive metric ensures published research meets the highest academic standards.

Editorial Diversity Score

Not yet measured

Author Diversity + Interdisciplinary Value (8%)

Measures geographic diversity of authors, institutional variety, editorial board composition, and cross-disciplinary connections.

Diverse editorial teams bring varied perspectives and reduce bias in academic publishing.

Publication Regularity Score

Not yet measured

Assesses consistency of publication schedule, frequency stability, and predictable output patterns.

Regular publication schedules indicate reliable journal operations and consistent workflow management.

Geographic Reach Score

Not yet measured

Evaluates international author representation, global readership distribution, and cross-border research collaboration.

Wide geographic reach indicates global impact and international recognition of the journal's research.