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European journal of nuclear medicine and molecular imaging

ISSN 1619-7089· EN

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40.6 / 100
Journament Score
Below Average
Ranked #3,749 of 29,324 scored journals (33,995 indexed)
184 Articles
Scores higher than 87.2% 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 Eur J Nucl Med Mol Imaging
Abbreviated Name eur j nucl med mol imaging
ISSN 1619-7089

Quality Profile

6 of 12 dimensions measured
Engagement 30.6
Timeliness 20.0
Diversity 66.7
Innovation 70.0
Community Impact 9.3
Content Distribution 39.8
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 30.6 30.4
Accessibility — 19.1
Timeliness 20.0 9.2
Diversity 66.7 25.8
Innovation 70.0 27.4
Community Impact 9.3 7.8
Content Distribution 39.8 88.6
Content Quality — 55.5
Ethics & Transparency — 40.2
Editorial Standards — 33.4
Publication Regularity — 53.2
Geographic Reach — 30.8

Publications Per Year

Articles (184)

2019
Application of an amyloid and tau classification system in subcortical vascular cognitive impairment patients.
Jang, Hyemin;Kim, Hee Jin;Park, Seongbeom;Park, Yu Hyun;Choe, Yeongsim;Cho, Hanna;Lyoo, Chul Hyoung;Yoon, Uicheul;Lee, Jin San;Kim, Yeshin;Kim, Seung Joo;Kim, Jun Pyo;Jung, Young Hee;Ryu, Young Hoon;Choi, Jae Yong;Moon, Seung Hwan;Seong, Joon-Kyung;DeCarli, Charles;Weiner, Michael W;Lockhart, Samuel N;Cho, Soo Hyun;Na, Duk L;Seo, Sang Won;
815 views DOI Abstract
2019
Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics.
Wenzel, Markus;Milletari, Fausto;Krüger, Julia;Lange, Catharina;Schenk, Michael;Apostolova, Ivayla;Klutmann, Susanne;Ehrenburg, Marcus;Buchert, Ralph;
457 views DOI Abstract
2020
Brain PET amyloid and neurodegeneration biomarkers in the context of the 2018 NIA-AA research framework: an individual approach exploring clinical-biomarker mismatches and sociodemographic parameters.
Coutinho, Artur Martins;Busatto, Geraldo F;de Gobbi Porto, Fábio Henrique;de Paula Faria, Daniele;Ono, Carla Rachel;Garcez, Alexandre Teles;Squarzoni, Paula;de Souza Duran, Fábio Luiz;de Oliveira, Maira Okada;Tres, Eduardo Sturzeneker;Brucki, Sonia Maria Dozzi;Forlenza, Orestes Vicente;Nitrini, Ricardo;Buchpiguel, Carlos Alberto;
441 views DOI Abstract
2019
Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications.
Visvikis, Dimitris;Cheze Le Rest, Catherine;Jaouen, Vincent;Hatt, Mathieu;
428 views DOI Abstract
2019
Advances in CNS PET: the state-of-the-art for new imaging targets for pathophysiology and drug development.
McCluskey, Stuart P;Plisson, Christophe;Rabiner, Eugenii A;Howes, Oliver;
427 views DOI Abstract
2016
(11)C-Choline PET/CT for restaging prostate cancer. Results from 4,426 scans in a single-centre patient series.
Graziani, Tiziano;Ceci, Francesco;Castellucci, Paolo;Polverari, Giulia;Lima, Giacomo Maria;Lodi, Filippo;Morganti, Alessio Giuseppe;Ardizzoni, Andrea;Schiavina, Riccardo;Fanti, Stefano;
Vol. 43 , No. 11 , pp. 1971-9
404 views DOI Abstract
2019
AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics.
Castiglioni, Isabella;Gallivanone, Francesca;Soda, Paolo;Avanzo, Michele;Stancanello, Joseph;Aiello, Marco;Interlenghi, Matteo;Salvatore, Marco;
401 views DOI Abstract
2011
Luxembourg Report : Report on the French-Belgian-Luxembourgish Joint Congress of Nuclear Medicine, Luxembourg, 7-9 May 2011: "a new era of networking and communication in nuclear medicine: Non-angry lobbying in favour of a new nuclear reactor for medical use coinciding with angry antinuclear power plant demonstrations in Luxembourg"
Als, C.
Vol. 38 , pp. 2107-2109
373 views DOI
2019
Improved quantification of amyloid burden and associated biomarker cut-off points: results from the first amyloid Singaporean cohort with overlapping cerebrovascular disease.
Tanaka, Tomotaka;Stephenson, Mary C;Nai, Ying-Hwey;Khor, Damian;Saridin, Francis N;Hilal, Saima;Villaraza, Steven;Gyanwali, Bibek;Ihara, Masafumi;Vrooman, Henri;Weekes, Ashley A;Totman, John J;Robins, Edward G;Chen, Christopher P;Reilhac, Anthonin;
372 views DOI Abstract
2020
COVID19 impact on nuclear medicine: an Australian perspective
Currie, G.
Vol. 47 , pp. 0-0
278 views DOI
2024
A deep learning model for generating [F]FDG PET Images from early-phase [F]Florbetapir and [F]Flutemetamol PET images.
Sanaat, Amirhossein;Boccalini, Cecilia;Mathoux, Gregory;Perani, Daniela;Frisoni, Giovanni B;Haller, Sven;Montandon, Marie-Louise;Rodriguez, Cristelle;Giannakopoulos, Panteleimon;Garibotto, Valentina;Zaidi, Habib;
49 views DOI Abstract
2023
Longitudinal head-to-head comparison of <sup>11</sup>C-PiB and <sup>18</sup>F-florbetapir PET in a Phase 2/3 clinical trial of anti-amyloid-β monoclonal antibodies in dominantly inherited Alzheimer’s disease
Chen, C.D.
Vol. 50 , pp. 2669-2682
40 views DOI
2023
Large language models (LLM) and ChatGPT: what will the impact on nuclear medicine be?
Alberts, Ian L;Mercolli, Lorenzo;Pyka, Thomas;Prenosil, George;Shi, Kuangyu;Rominger, Axel;Afshar-Oromieh, Ali;
191 views DOI
2022
<sup>18</sup>F-florbetapir PET as a marker of myelin integrity across the Alzheimer’s disease spectrum
Moscoso, A.
Vol. 49 , pp. 1242-1253
75 views DOI
2020
COVID19 impact on nuclear medicine: an Australian perspective
Currie, G.
Vol. 47 , pp. 0-0
278 views DOI
2020
Brain PET amyloid and neurodegeneration biomarkers in the context of the 2018 NIA-AA research framework: an individual approach exploring clinical-biomarker mismatches and sociodemographic parameters.
Coutinho, Artur Martins;Busatto, Geraldo F;de Gobbi Porto, Fábio Henrique;de Paula Faria, Daniele;Ono, Carla Rachel;Garcez, Alexandre Teles;Squarzoni, Paula;de Souza Duran, Fábio Luiz;de Oliveira, Maira Okada;Tres, Eduardo Sturzeneker;Brucki, Sonia Maria Dozzi;Forlenza, Orestes Vicente;Nitrini, Ricardo;Buchpiguel, Carlos Alberto;
441 views DOI Abstract
2019
Improved quantification of amyloid burden and associated biomarker cut-off points: results from the first amyloid Singaporean cohort with overlapping cerebrovascular disease.
Tanaka, Tomotaka;Stephenson, Mary C;Nai, Ying-Hwey;Khor, Damian;Saridin, Francis N;Hilal, Saima;Villaraza, Steven;Gyanwali, Bibek;Ihara, Masafumi;Vrooman, Henri;Weekes, Ashley A;Totman, John J;Robins, Edward G;Chen, Christopher P;Reilhac, Anthonin;
372 views DOI Abstract
2019
Advances in CNS PET: the state-of-the-art for new imaging targets for pathophysiology and drug development.
McCluskey, Stuart P;Plisson, Christophe;Rabiner, Eugenii A;Howes, Oliver;
427 views DOI Abstract
2019
Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics.
Wenzel, Markus;Milletari, Fausto;Krüger, Julia;Lange, Catharina;Schenk, Michael;Apostolova, Ivayla;Klutmann, Susanne;Ehrenburg, Marcus;Buchert, Ralph;
457 views DOI Abstract
2019
Application of an amyloid and tau classification system in subcortical vascular cognitive impairment patients.
Jang, Hyemin;Kim, Hee Jin;Park, Seongbeom;Park, Yu Hyun;Choe, Yeongsim;Cho, Hanna;Lyoo, Chul Hyoung;Yoon, Uicheul;Lee, Jin San;Kim, Yeshin;Kim, Seung Joo;Kim, Jun Pyo;Jung, Young Hee;Ryu, Young Hoon;Choi, Jae Yong;Moon, Seung Hwan;Seong, Joon-Kyung;DeCarli, Charles;Weiner, Michael W;Lockhart, Samuel N;Cho, Soo Hyun;Na, Duk L;Seo, Sang Won;
815 views DOI Abstract
Journament Score
40.6/100 · Below Average
Ranked #3,749 of 29,324 scored
(33,995 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

40.6/100

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

30.6/100

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

Not yet measured

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

66.7/100

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

9.3/100

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

39.8/100

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.