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BMC medical informatics and decision making

ISSN 1472-6947· EN

Journal Website Certificate of Indexing
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30.0 / 100
Journament Score
Poor
Ranked #21,927 of 29,339 scored journals (33,995 indexed)
65 Articles
Scores higher than 25.2% 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 BMC Med Inform Decis Mak
Abbreviated Name bmc med inform decis mak
ISSN 1472-6947
URL https://bmcmedinformdecismak.biomedcentral.com

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 30.9 30.2
Accessibility 20.0 17.8
Timeliness 0.0 15.9
Diversity 11.1 28.2
Innovation 70.0 30.1
Community Impact 7.1 11.5
Content Distribution 65.8 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 (65)

2019
QAnalysis: A question-answer driven analytic tool on knowledge graphs for leveraging electronic medical records for clinical research
Ruan, T.
Vol. 19 , pp. 0-0
623 views DOI
2017
Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data
Du, Jingcheng;Xu, Jun;Song, Hsing-Yi;Tao, Cui;
Vol. 17 , No. S2 , pp. 63-70
569 views Abstract
2019
Promoting healthy teenage behaviour across three European countries through the use of a novel smartphone technology platform, PEGASO fit for future: study protocol of a quasi-experimental, controlled, multi-Centre trial.
Puigdomenech, Elisa;Martin, Anne;Lang, Alexandra;Adorni, Fulvio;Gomez, Santiago Felipe;McKinstry, Brian;Prinelli, Federica;Condon, Laura;Rashid, Rajeeb;Caon, Maurizio;Atkinson, Sarah;Lafortuna, Claudio L;Ciociola, Valentina;Hanley, Janet;McCloughan, Lucy;Castell, Conxa;Espallargues, Mireia;, ;
Vol. 19 , No. 1 , pp. 278
524 views DOI Abstract
2016
prevalence of gingivitis and perception of gingival colour among pregnant women attending the antenatal clinic of lagos university teaching hospital, idi-araba
;Modupeoluwa Omotunde Soroye;Partricia Omowunmi Ayanbadejo
Vol. 8 , No. 1 , pp. 53-58
492 views DOI Abstract
2019
Assessing factors militating against the acceptance and successful implementation of a cloud based health center from the healthcare professionals' perspective: A survey of hospitals in Benue state, northcentral Nigeria
Idoga, P.
Vol. 19 , pp. 0-0
471 views DOI Abstract
2017
Advancing beyond the system: telemedicine nurses’ clinical reasoning using a computerised decision support system for patients with COPD – an ethnographic study
Barken, Tina Lien;Thygesen, Elin;Söderhamn, Ulrika;
Vol. 17 , No. 1 , pp. 1-11
471 views Abstract
2017
The effect of nursing participation in the design of a critical care information system: a case study in a Chinese hospital
Qin, Yanhong;Zhou, Ranyun;Wu, Qiong;Huang, Xiaodi;Chen, Xinli;Wang, Weiwei;Wang, Xun;Xu, Hua;Zheng, Jing;Qian, Siyu;Bai, Changqing;Yu, Ping;
Vol. 17 , No. 1 , pp. 1-12
447 views Abstract
2019
Special issue of BMC medical informatics and decision making on health natural language processing
Vydiswaran, V.
Vol. 19 , pp. 0-0
442 views DOI
2019
What do healthcare professionals need to turn risk models for type 2 diabetes into usable computerized clinical decision support systems? Lessons learned from the MOSAIC project.
Fico, Giuseppe;Hernanzez, Liss;Cancela, Jorge;Dagliati, Arianna;Sacchi, Lucia;Martinez-Millana, Antonio;Posada, Jorge;Manero, Lidia;Verdú, Jose;Facchinetti, Andrea;Ottaviano, Manuel;Zarkogianni, Konstantia;Nikita, Konstantina;Groop, Leif;Gabriel-Sanchez, Rafael;Chiovato, Luca;Traver, Vicente;Merino-Torres, Juan Francisco;Cobelli, Claudio;Bellazzi, Riccardo;Arredondo, Maria Teresa;
Vol. 19 , No. 1 , pp. 163
436 views DOI Abstract
2012
liquid dish washing soap: an excellent substitute for xylene and alcohol in hematoxylin and eosin staining procedure
;Surekha Ramulu;Anila Koneru;Shamala Ravikumar;Priyadarshini Sharma;D. N. S. V Ramesh;Ramesh Patil
Vol. 4 , No. 1 , pp. 37-42
430 views DOI Abstract
2021
Determining the effect of tele-rehabilitation on patients with stutter using the goal attainment scaling (GAS).
Eslami Jahromi, Maryam;Ahmadian, Leila;
Vol. 21 , No. 1 , pp. 280
230 views DOI Abstract
2020
Towards developing a secure medical image sharing system based on zero trust principles and blockchain technology.
Sultana, Maliha;Hossain, Afrida;Laila, Fabiha;Taher, Kazi Abu;Islam, Muhammad Nazrul;
Vol. 20 , No. 1 , pp. 256
319 views DOI Abstract
2020
Exploring emerging IoT technologies in smart health research: a knowledge graph analysis.
Yang, Xuejie;Wang, Xiaoyu;Li, Xingguo;Gu, Dongxiao;Liang, Changyong;Li, Kang;Zhang, Gongrang;Zhong, Jinhong;
Vol. 20 , No. 1 , pp. 260
297 views DOI Abstract
2020
How to automatically turn patient experience free-text responses into actionable insights: A natural language programming (NLP) approach
Cammel, S.A.
Vol. 20 , pp. 0-0
189 views DOI
2020
The design and development of technology platforms in a developing country healthcare context from an ecosystem perspective.
Herman, Hilde;Grobbelaar, Sara S;Pistorius, Calie;
Vol. 20 , No. 1 , pp. 55
243 views DOI Abstract
2020
Assessing stroke severity using electronic health record data: a machine learning approach.
Kogan, Emily;Twyman, Kathryn;Heap, Jesse;Milentijevic, Dejan;Lin, Jennifer H;Alberts, Mark;
Vol. 20 , No. 1 , pp. 8
304 views DOI Abstract
2019
Promoting healthy teenage behaviour across three European countries through the use of a novel smartphone technology platform, PEGASO fit for future: study protocol of a quasi-experimental, controlled, multi-Centre trial.
Puigdomenech, Elisa;Martin, Anne;Lang, Alexandra;Adorni, Fulvio;Gomez, Santiago Felipe;McKinstry, Brian;Prinelli, Federica;Condon, Laura;Rashid, Rajeeb;Caon, Maurizio;Atkinson, Sarah;Lafortuna, Claudio L;Ciociola, Valentina;Hanley, Janet;McCloughan, Lucy;Castell, Conxa;Espallargues, Mireia;, ;
Vol. 19 , No. 1 , pp. 278
524 views DOI Abstract
2019
Automated detection of altered mental status in emergency department clinical notes: a deep learning approach.
Obeid, Jihad S;Weeda, Erin R;Matuskowitz, Andrew J;Gagnon, Kevin;Crawford, Tami;Carr, Christine M;Frey, Lewis J;
Vol. 19 , No. 1 , pp. 164
314 views DOI Abstract
2019
Natural language processing for populating lung cancer clinical research data
Wang, L.
Vol. 19 , pp. 0-0
199 views DOI
2019
Family history information extraction via deep joint learning.
Shi, Xue;Jiang, Dehuan;Huang, Yuanhang;Wang, Xiaolong;Chen, Qingcai;Yan, Jun;Tang, Buzhou;
Vol. 19 , No. Suppl 10 , pp. 277
198 views DOI Abstract
Journament Score
30.0/100 · Poor
Ranked #21,927 of 29,339 scored
(33,995 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

30.0/100

Tier: Poor

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

30.9/100

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

11.1/100

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

7.1/100

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

0.0/100

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

65.8/100

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.