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journal of the american college of radiology : jacr

ISSN 1558-349X· EN

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31.4 / 100
Journament Score
Poor
Ranked #14,821 of 29,298 scored journals (34,012 indexed)
22 Articles
Scores higher than 49.4% 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 j am coll radiol
Abbreviated Name j am coll radiol
ISSN 1558-349X
URL https://www.journals.elsevier.com/journal-of-the-american-college-of-radiology

Quality Profile

6 of 12 dimensions measured
Engagement 30.5
Accessibility 20.0
Timeliness 0.0
Innovation 43.5
Community Impact 7.9
Content Distribution 77.7
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

6 of the 12 dimensions could not be measured for this journal. They are left out entirely rather than plotted as zero, and with 6 dimensions measured there is not enough of a profile to draw as a shape.

Show the numbers
Dimension This journal Corpus average
Engagement 30.5 30.4
Accessibility 20.0 22.5
Timeliness 0.0 3.0
Diversity — 22.7
Innovation 43.5 24.1
Community Impact 7.9 4.2
Content Distribution 77.7 88.7
Content Quality — 55.5
Ethics & Transparency — 40.2
Editorial Standards — 33.4
Publication Regularity — 53.2
Geographic Reach — 30.8

Publications Per Year

Articles (22)

2019
The Potential Role of Radiomics and Radiogenomics in Patient Stratification by Tumor Hypoxia Status.
Marcu, Loredana G;Forster, Jake C;Bezak, Eva;
Vol. 16 , No. 9 Pt B , pp. 1329-1337
453 views DOI Abstract
2019
Psychometric Validation of a Nonproprietary Survey of Patient Satisfaction for Use in Outpatient Radiology Centers.
Dibble, Elizabeth H;Ryan, Valerie M;Baird, Grayson L;Swenson, David W;Healey, Terrance T;
444 views DOI Abstract
2019
Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology.
Martín Noguerol, Teodoro;Paulano-Godino, Félix;Martín-Valdivia, María Teresa;Menias, Christine O;Luna, Antonio;
Vol. 16 , No. 9 Pt B , pp. 1239-1247
387 views DOI Abstract
2019
Pilot Feasibility Study of an Oncology Financial Navigation Program in Brain Cancer Patients.
Sadigh, Gelareh;Gallagher, Kathleen;Obenchain, Jennifer;Benson, Al;Mitchell, Edith;Sengupta, Soma;Carlos, Ruth C;
Vol. 16 , No. 10 , pp. 1420-1424
380 views DOI
2017
ACR Appropriateness Criteria Imaging for Transcatheter Aortic Valve Replacement.
, ;Leipsic, Jonathon A;Blanke, Philipp;Hanley, Michael;Batlle, Juan C;Bolen, Michael A;Brown, Richard K J;Desjardins, Benoit;Eberhardt, Robert T;Gornik, Heather L;Hurwitz, Lynne M;Maniar, Hersh;Patel, Himanshu J;Sheybani, Elizabeth F;Steigner, Michael L;Verma, Nupur;Abbara, Suhny;Rybicki, Frank J;Kirsch, Jacobo;Dill, Karin E;
Vol. 14 , No. 11S , pp. S449-S455
375 views DOI Abstract
2019
A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence-Powered Ultrasound for Improving Clinical Workflow.
Akkus, Zeynettin;Cai, Jason;Boonrod, Arunnit;Zeinoddini, Atefeh;Weston, Alexander D;Philbrick, Kenneth A;Erickson, Bradley J;
Vol. 16 , No. 9 Pt B , pp. 1318-1328
362 views DOI Abstract
2017
2017 ACR Annual Meeting Open-Microphone Session: Navigating the Landscape of Changing Practice Models: Private Practice, Corporate Radiology, and Enterprise Systems.
Stern, Eric J;Everett, Catherine;Friedberg, Eric B;Kotsenas, Amy L;Glover, McKinley;Lightfoote, Johnson B;Lall, Neil;Swan, Timothy L;
Vol. 14 , No. 11 , pp. 1384-1387
354 views DOI Abstract
2019
Scanning the Future of Medical Imaging.
Alexander, Alan;McGill, Megan;Tarasova, Anna;Ferreira, Cara;Zurkiya, Delphine;
Vol. 16 , No. 4 Pt A , pp. 501-507
322 views DOI Abstract
2019
The Application of Machine Learning to Quality Improvement Through the Lens of the Radiology Value Network.
Makeeva, Valeria;Gichoya, Judy;Hawkins, C Matthew;Towbin, Alexander J;Heilbrun, Marta;Prater, Adam;
Vol. 16 , No. 9 Pt B , pp. 1254-1258
322 views DOI Abstract
2019
Artificial Intelligence and Clinical Decision Support for Radiologists and Referring Providers.
Bizzo, Bernardo C;Almeida, Renata R;Michalski, Mark H;Alkasab, Tarik K;
Vol. 16 , No. 9 Pt B , pp. 1351-1356
319 views DOI Abstract
2019
Scanning the Future of Medical Imaging.
Alexander, Alan;McGill, Megan;Tarasova, Anna;Ferreira, Cara;Zurkiya, Delphine;
Vol. 16 , No. 4 Pt A , pp. 501-507
322 views DOI Abstract
2019
Psychometric Validation of a Nonproprietary Survey of Patient Satisfaction for Use in Outpatient Radiology Centers.
Dibble, Elizabeth H;Ryan, Valerie M;Baird, Grayson L;Swenson, David W;Healey, Terrance T;
444 views DOI Abstract
2019
Pilot Feasibility Study of an Oncology Financial Navigation Program in Brain Cancer Patients.
Sadigh, Gelareh;Gallagher, Kathleen;Obenchain, Jennifer;Benson, Al;Mitchell, Edith;Sengupta, Soma;Carlos, Ruth C;
Vol. 16 , No. 10 , pp. 1420-1424
380 views DOI
2019
A Medical Student's Outlook on Radiology in Light of Artificial Intelligence.
Burdorf, Benjamin;
202 views DOI
2019
How to Navigate Toxic Behaviors at Work.
Webb, Emily M;Kohi, Maureen P;
, pp. 0-0
224 views DOI
2019
The Role of Generative Adversarial Networks in Radiation Reduction and Artifact Correction in Medical Imaging.
Vey, Brianna L;Gichoya, Judy W;Prater, Adam;Hawkins, C Matthew;
Vol. 16 , No. 9 Pt B , pp. 1273-1278
266 views DOI Abstract
2019
Strengths, Weaknesses, Opportunities, and Threats Analysis of Artificial Intelligence and Machine Learning Applications in Radiology.
Martín Noguerol, Teodoro;Paulano-Godino, Félix;Martín-Valdivia, María Teresa;Menias, Christine O;Luna, Antonio;
Vol. 16 , No. 9 Pt B , pp. 1239-1247
387 views DOI Abstract
2019
The Application of Machine Learning to Quality Improvement Through the Lens of the Radiology Value Network.
Makeeva, Valeria;Gichoya, Judy;Hawkins, C Matthew;Towbin, Alexander J;Heilbrun, Marta;Prater, Adam;
Vol. 16 , No. 9 Pt B , pp. 1254-1258
322 views DOI Abstract
2019
Using Artificial Intelligence to Improve the Quality and Safety of Radiation Therapy.
Pillai, Malvika;Adapa, Karthik;Das, Shiva K;Mazur, Lukasz;Dooley, John;Marks, Lawrence B;Thompson, Reid F;Chera, Bhishamjit S;
Vol. 16 , No. 9 Pt B , pp. 1267-1272
219 views DOI Abstract
2019
A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence-Powered Ultrasound for Improving Clinical Workflow.
Akkus, Zeynettin;Cai, Jason;Boonrod, Arunnit;Zeinoddini, Atefeh;Weston, Alexander D;Philbrick, Kenneth A;Erickson, Bradley J;
Vol. 16 , No. 9 Pt B , pp. 1318-1328
362 views DOI Abstract
Journament Score
31.4/100 · Poor
Ranked #14,821 of 29,298 scored
(34,012 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

31.4/100

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

30.5/100

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

Not yet measured

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

43.5/100

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

7.9/100

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

77.7/100

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.