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Computers in biology and medicine

ISSN 1879-0534· EN

Journal Website Certificate of Indexing
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35.5 / 100
Journament Score
Poor
Ranked #8,092 of 29,297 scored journals (34,015 indexed)
87 Articles
Scores higher than 72.3% 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 Comput Biol Med
Abbreviated Name comput biol med
ISSN 1879-0534
URL https://www.journals.elsevier.com/computers-in-biology-and-medicine

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 31.2 30.5
Accessibility 20.0 23.1
Timeliness 20.0 3.0
Diversity 33.3 26.4
Innovation 70.0 24.1
Community Impact 10.7 4.5
Content Distribution 58.1 89.3
Content Quality — 55.1
Ethics & Transparency — 40.5
Editorial Standards — 33.0
Publication Regularity — 52.9
Geographic Reach — 30.4

Publications Per Year

Articles (87)

2020
Autodetect extracranial and intracranial artery stenosis by machine learning using ultrasound.
Hsu, Kai-Cheng;Lin, Ching-Heng;Johnson, Kory R;Liu, Chi-Hung;Chang, Ting-Yu;Huang, Kuo-Lun;Fann, Yang-Cheng;Lee, Tsong-Hai;
Vol. 116 , pp. 103569
985 views DOI Abstract
2019
Pharmacoinformatics-based identification of potential bioactive compounds against Ebola virus protein VP24.
Kwofie, Samuel K;Broni, Emmanuel;Teye, Joshua;Quansah, Erasmus;Issah, Ibrahim;Wilson, Michael D;Miller, Whelton A;Tiburu, Elvis K;Bonney, Joseph H K;
Vol. 113 , pp. 103414
525 views DOI Abstract
1996
Automatic analysis of the control of metabolic networks.
Bayram, M;
Vol. 26 , No. 5 , pp. 401-8
507 views Abstract
2019
Reducing demand uncertainty in the platelet supply chain through artificial neural networks and ARIMA models.
Fanoodi, Bahareh;Malmir, Behnam;Jahantigh, Farzad Firouzi;
Vol. 113 , pp. 103415
492 views DOI Abstract
2019
Plug and play self-configurable IoT gateway node for telemonitoring of ECG.
Koya, Aneesh M;Deepthi, P P;
Vol. 112 , pp. 103359
439 views DOI Abstract
2019
ipcwswitch: An R package for inverse probability of censoring weighting with an application to switches in clinical trials.
Grafféo, Nathalie;Latouche, Aurélien;Le Tourneau, Christophe;Chevret, Sylvie;
Vol. 111 , pp. 103339
420 views DOI Abstract
2019
Mixed impact of torsion on LV hemodynamics: A CFD study based on the Chimera technique.
Canè, Federico;Selmi, Matteo;De Santis, Gianluca;Redaelli, Alberto;Segers, Patrick;Degroote, Joris;
Vol. 112 , pp. 103363
418 views DOI Abstract
2019
Mapping RNA-seq reads to transcriptomes efficiently based on learning to hash method.
Yu, Xueting;Liu, Xuejun;
Vol. 116 , pp. 103539
413 views DOI Abstract
2018
Prediction of venous thromboembolism using semantic and sentiment analyses of clinical narratives.
Sabra, Susan;Mahmood Malik, Khalid;Alobaidi, Mazen;
Vol. 94 , pp. 1-10
406 views DOI Abstract
2020
Evaluation and benchmarking of level set-based three forces via geometric active contours for segmentation of white blood cell nuclei shape.
Al-Dulaimi, Khamael;Tomeo-Reyes, Inmaculada;Banks, Jasmine;Chandran, Vinod;
Vol. 116 , pp. 103568
404 views DOI Abstract
2023
A web server for predicting and scanning of IL-5 inducing peptides using alignment-free and alignment-based method.
Naorem, Leimarembi Devi;Sharma, Neelam;Raghava, Gajendra P S;
Vol. 158 , pp. 106864
140 views DOI Abstract
2023
TNFepitope: A webserver for the prediction of TNF-α inducing epitopes.
Dhall, Anjali;Patiyal, Sumeet;Choudhury, Shubham;Jain, Shipra;Narang, Kashish;Raghava, Gajendra P S;
Vol. 160 , pp. 106929
153 views DOI Abstract
2020
Cellular morphological features are predictive markers of cancer cell state.
Alizadeh, Elaheh;Castle, Jordan;Quirk, Analia;Taylor, Cameron D L;Xu, Wenlong;Prasad, Ashok;
Vol. 126 , pp. 104044
341 views DOI Abstract
2020
Improving multi-atlas cardiac structure segmentation of computed tomography angiography: A performance evaluation based on a heterogeneous dataset.
Bui, Vy;Hsu, Li-Yueh;Shanbhag, Sujata M;Tran, Loc;Bandettini, W Patricia;Chang, Lin-Ching;Chen, Marcus Y;
Vol. 125 , pp. 104019
301 views DOI Abstract
2020
Addressing database variability in learning from medical data: An ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring.
Alvarez-Estevez, Diego;Fernández-Varela, Isaac;
Vol. 119 , pp. 103697
269 views DOI Abstract
2020
Impact of hybrid supervision approaches on the performance of artificial intelligence for the classification of chest radiographs.
Ellis, Ryan;Ellestad, Erik;Elicker, Brett;Hope, Michael D;Tosun, Duygu;
Vol. 120 , pp. 103699
266 views DOI Abstract
2020
Evaluation and benchmarking of level set-based three forces via geometric active contours for segmentation of white blood cell nuclei shape.
Al-Dulaimi, Khamael;Tomeo-Reyes, Inmaculada;Banks, Jasmine;Chandran, Vinod;
Vol. 116 , pp. 103568
404 views DOI Abstract
2020
Autodetect extracranial and intracranial artery stenosis by machine learning using ultrasound.
Hsu, Kai-Cheng;Lin, Ching-Heng;Johnson, Kory R;Liu, Chi-Hung;Chang, Ting-Yu;Huang, Kuo-Lun;Fann, Yang-Cheng;Lee, Tsong-Hai;
Vol. 116 , pp. 103569
985 views DOI Abstract
2019
On the suitability of VMAF for quality assessment of medical videos: Medical ultrasound & wireless capsule endoscopy.
Usman, Muhammad Arslan;Martini, Maria G;
Vol. 113 , pp. 103383
269 views DOI Abstract
2019
Mapping RNA-seq reads to transcriptomes efficiently based on learning to hash method.
Yu, Xueting;Liu, Xuejun;
Vol. 116 , pp. 103539
413 views DOI Abstract
Journament Score
35.5/100 · Poor
Ranked #8,092 of 29,297 scored
(34,015 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

35.5/100

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

31.2/100

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

33.3/100

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

10.7/100

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

20.0/100

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

58.1/100

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.