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Pakistan Journal of Artificial Intelligence in Medical Research

ISSN 3105-4803· EN

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44.4 / 100
Journament Score
Below Average
Ranked #426 of 29,312 scored journals (34,012 indexed)
6 Articles
Scores higher than 98.5% 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 →
AI Quality Analysis
36.2 / 100
Separate paid analysis — does not affect the Journament Score or ranking.

About This Journal

The Pakistan Journal of Artificial Intelligence in Medical Research (PJAIMR) is a peer-reviewed, open-access academic journal dedicated to advancing the application of artificial intelligence (AI) and machine learning (ML) in the medical and healthcare fields. The journal serves as a platform for the publication of high-quality, original research that explores the intersection of AI technologies and medical sciences, focusing on improving diagnosis, treatment, patient care, healthcare systems, and medical research
Short Name Pak J Art Int Med Res
Abbreviated Name PJAIMR
ISSN 3105-4803
URL https://pjaimr.com/index.php/pjaimr/index
Author Instructions https://pjaimr.com/index.php/pjaimr/about/submissions

Quality Profile

11 of 12 dimensions measured
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

1 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 30.4 30.4
Accessibility 45.0 20.4
Timeliness 60.0 5.8
Diversity — 24.4
Innovation 28.0 25.7
Community Impact 1.4 5.8
Content Distribution 93.5 88.6
Content Quality 55.0 55.5
Ethics & Transparency 40.0 40.2
Editorial Standards 25.0 33.4
Publication Regularity 30.0 53.2
Geographic Reach 15.0 30.8

Publications Per Year

Articles (6)

2025
Mental Health in the Digital Age: Addressing the Rise of Technology-Driven Therapies
Dr. Imran Ahmed
Vol. 2 , No. 1 , pp. 33-38
103 views Abstract
2025
Regenerative Medicine: Stem Cell Therapies and Tissue Engineering for Healing
Dr. Faiza Ali
Vol. 2 , No. 1 , pp. 39-44
91 views Abstract
2025
Emerging Trends in Immunotherapy: Enhancing Cancer Treatment Efficacy
Dr. Ayesha Rehman
Vol. 2 , No. 1 , pp. 24-32
89 views Abstract
2025
Advancements in Precision Medicine: Personalized Approaches in Oncology Treatment
Dr. Fahad Ali
Vol. 2 , No. 1 , pp. 8-23
87 views Abstract
2025
Virtual Reality in Pain Management
Dr. Asma Sheikh
Vol. 2 , No. 1 , pp. 1-7
85 views Abstract
2025
Predicting Chordoma Metastasis Using Gene Expression Data and Machine Learning
Muhammad Ali Azam Khattak, Ashley Alex Jacob Jacob, Shehbeel Arif Arif, Sultan Farooq Farooq
Vol. 2 , No. 1
81 views Abstract
2025
Virtual Reality in Pain Management
Dr. Asma Sheikh
Vol. 2 , No. 1 , pp. 1-7
85 views Abstract
2025
Advancements in Precision Medicine: Personalized Approaches in Oncology Treatment
Dr. Fahad Ali
Vol. 2 , No. 1 , pp. 8-23
87 views Abstract
2025
Emerging Trends in Immunotherapy: Enhancing Cancer Treatment Efficacy
Dr. Ayesha Rehman
Vol. 2 , No. 1 , pp. 24-32
89 views Abstract
2025
Regenerative Medicine: Stem Cell Therapies and Tissue Engineering for Healing
Dr. Faiza Ali
Vol. 2 , No. 1 , pp. 39-44
91 views Abstract
2025
Predicting Chordoma Metastasis Using Gene Expression Data and Machine Learning
Muhammad Ali Azam Khattak, Ashley Alex Jacob Jacob, Shehbeel Arif Arif, Sultan Farooq Farooq
Vol. 2 , No. 1
81 views Abstract
2025
Mental Health in the Digital Age: Addressing the Rise of Technology-Driven Therapies
Dr. Imran Ahmed
Vol. 2 , No. 1 , pp. 33-38
103 views Abstract
Journament Score
44.4/100 · Below Average
Ranked #426 of 29,312 scored
(34,012 journals indexed)
Platform Statistics
AI Quality Analysis 36.2/100
Journament

Overall Quality Score

44.4/100

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

30.4/100

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

45.0/100

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

Not yet measured

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

Estimated 1 countries represented

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

Innovation Score

28.0/100

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

1.4/100

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

93.5/100

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

40.0/100

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

55.0/100

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

25.0/100

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

30.0/100

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

15.0/100

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

Estimated 1 countries represented

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