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journal of neuroscience methods

ISSN 0165-0270· EN

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38.5 / 100
Journament Score
Poor
Ranked #9,833 of 29,341 scored journals (33,995 indexed)
35 Articles
Scores higher than 66.4% 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 neurosci methods
Abbreviated Name j neurosci methods
ISSN 0165-0270
URL https://www.journals.elsevier.com/journal-of-neuroscience-methods

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 30.8 30.1
Accessibility 20.0 17.9
Timeliness 0.0 19.2
Diversity 55.6 28.8
Innovation 70.0 31.2
Community Impact 5.7 13.4
Content Distribution 76.7 88.4
Content Quality — 55.5
Ethics & Transparency — 40.2
Editorial Standards — 33.4
Publication Regularity — 53.2
Geographic Reach — 30.8

Publications Per Year

Articles (35)

2004
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.
Delorme, Arnaud;Makeig, Scott;
Vol. 134 , No. 1 , pp. 9-21
404 views Abstract
2016
Nonlinear association criterion, nonlinear Granger causality and related issues with applications to neuroimage studies.
Tao, Chenyang;Feng, Jianfeng;
Vol. 262 , pp. 110-32
397 views DOI Abstract
2020
Automated Segmentation of Acute Stroke Lesions Using a Data-driven Anomaly Detection on Diffusion Weighted MRI.
Nazari-Farsani, Sanaz;Nyman, Mikko;Karjalainen, Tomi;Bucci, Marco;Isojärvi, Janne;Nummenmaa, Lauri;
, pp. 108575
374 views DOI Abstract
2019
Early prediction of epileptic seizures using a long-term recurrent convolutional network.
Wei, Xiaoyan;Zhou, Lin;Zhang, Zhen;Chen, Ziyi;Zhou, Yi;
, pp. 108395
374 views DOI Abstract
1982
Quantitative receptor autoradiography using [3H]ultrofilm: application to multiple benzodiazepine receptors
Unnerstall JR;Niehoff DL;Kuhar MJ;Palacios JM;;
Vol. 6 , No. 1-2 , pp. -
364 views Abstract
1982
Quantitative densitometry of neurotransmitter receptors
Rainbow TC;Bleisch WV;Biegon A;McEwen BS;;
Vol. 5 , No. 1-2 , pp. -
358 views Abstract
2019
A Novel Enhanced Softmax Loss Function for Brain Tumour Detection using Deep learning.
Maharjan, Sunil;Alsadoon, Abeer;Prasad, P W C;Salam, Mustafa;Alsadoon, Omar Hisham;
, pp. 108520
350 views DOI Abstract
2019
Stacked in-plane histology for quantitative validation of non-invasive imaging biomarkers: Application to an infiltrative brain tumour model
Al-Mubarak, H.
Vol. 326 , pp. 0-0
350 views DOI
2019
A translational framework for peripheral nerve stimulating electrodes: Reviewing the journey from concept to clinic.
Charkhkar, Hamid;Christie, Breanne P;Pinault, Gilles J;Tyler, Dustin J;Triolo, Ronald J;
Vol. 328 , pp. 108414
349 views DOI Abstract
2020
Modeling drug exposure in rodents using e-cigarettes and other electronic nicotine delivery systems
Miliano, C.
Vol. 330 , pp. 0-0
343 views DOI
2020
A starting kit for training and establishing in vivo electrophysiology, intracranial pharmacology, and optogenetics
Eriksson, D.
Vol. 336 , pp. 0-0
228 views DOI
2020
AutoSholl allows for automation of Sholl analysis independent of user tracing
Srinivasan, A.
Vol. 331 , pp. 0-0
148 views DOI
2020
Automated Segmentation of Acute Stroke Lesions Using a Data-driven Anomaly Detection on Diffusion Weighted MRI.
Nazari-Farsani, Sanaz;Nyman, Mikko;Karjalainen, Tomi;Bucci, Marco;Isojärvi, Janne;Nummenmaa, Lauri;
, pp. 108575
374 views DOI Abstract
2020
Modeling drug exposure in rodents using e-cigarettes and other electronic nicotine delivery systems
Miliano, C.
Vol. 330 , pp. 0-0
343 views DOI
2020
Monitoring translation in synaptic fractions using a ribosome profiling strategy
Simbriger, K.
Vol. 329 , pp. 0-0
175 views DOI
2020
Review of functional in vitro models of the blood-cerebrospinal fluid barrier in leukaemia research
Erb, U.
Vol. 329 , pp. 0-0
187 views DOI
2019
A Novel Enhanced Softmax Loss Function for Brain Tumour Detection using Deep learning.
Maharjan, Sunil;Alsadoon, Abeer;Prasad, P W C;Salam, Mustafa;Alsadoon, Omar Hisham;
, pp. 108520
350 views DOI Abstract
2019
Optimised lyophilisation-based method for different biomolecule single-extractions from the same rat brain sample: Suitability for RNA and protein expression analyses after ischemic stroke.
Aliena-Valero, Alicia;Rius-Pérez, Sergio;Pérez, Salvador;Torregrosa, Germán;Salom, Juan B;
Vol. 327 , pp. 108402
338 views DOI Abstract
2019
Tensor clustering on outer-product of coefficient and component matrices of independent component analysis for reliable functional magnetic resonance imaging data decomposition
Hu, G.
Vol. 325 , pp. 0-0
270 views DOI
2019
A translational framework for peripheral nerve stimulating electrodes: Reviewing the journey from concept to clinic.
Charkhkar, Hamid;Christie, Breanne P;Pinault, Gilles J;Tyler, Dustin J;Triolo, Ronald J;
Vol. 328 , pp. 108414
349 views DOI Abstract
Journament Score
38.5/100 · Poor
Ranked #9,833 of 29,341 scored
(33,995 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

38.5/100

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

30.8/100

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

55.6/100

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

5.7/100

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

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

76.7/100

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.