Journal for the Measurement of Physical Behaviour
Published by Human Kinetics Publishers Inc.
ISSN : 2575-6605 eISSN : 2575-6613
Abbreviation : J. Meas. Phys. Behav.
Aims & Scope
JMPB is a peer-reviewed journal focusing on the publication of innovative and impactful research on wearable monitors to assess such behaviors as physical activity, sedentary behavior, movement disorders, and sleep.
This topic area is multidisciplinary and includes research from several disciplines such as kinesiology, psychology, computer science, engineering, statistics, public health, and clinical sciences.
Topic areas and types of papers may include novel methods for device calibration and validation, new sensor technology, analytic advances in measurement and interpretation, new outcomes for clinical studies, and applications of wearable monitors for assessing exposure and/or outcomes.
Evidence-based papers leading to best practices for how objective monitoring should be used in research and clinical settings are also encouraged.
Manuscripts validating self-report tools using objective measures may also be considered if innovative approaches are used for validation.
Submissions may include (but are not limited to) experimental studies, reviews, cross-sectional and longitudinal (cohort) studies, brief reports, technical notes, and evidence-based best practices recommendations.
Software code for sensor data processing and extraction methods may be published in online appendices that are linked to papers.
Detailed methods, where publishing the specific details may not be possible within the body of the paper, may also be published as online appendices linked to papers.
JMPB is a quarterly journal (March, June, September, and December) that published its first volume in 2018.
JMPB will be moving to online-only continuous publishing starting January 2024.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 1.7 |
Journal Rank
Year | Value |
---|---|
2024 | 8645 |
Journal Citation Indicator
Year | Value |
---|---|
2024 | 201 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 0.662 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
h-index
Year | Value |
---|---|
2024 | 15 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Decision Sciences, Engineering, Medicine and Psychology, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
-
GGIR: A Research Community–Driven Open Source R Package for Generating Physical Activity and Sleep Outcomes From Multi-Day Raw Accelerometer Data
Citation: 652
Authors: Jairo H., Alex V., Florian, Séverine, Vincent T.
-
An Open-Source Monitor-Independent Movement Summary for Accelerometer Data Processing
Citation: 147
Authors: Dinesh, Qu, Fahd, Stephen
-
Review of Validity and Reliability of Garmin Activity Trackers
Citation: 85
Authors: Kelly R., Camden L.
-
Physical Activity, Sedentary Behavior, and Time in Bed Among Finnish Adults Measured 24/7 by Triaxial Accelerometry
Citation: 39
Authors: Pauliina, Kari, Henri, Harri, Jaana, Olli J., Jarmo, Kaisu M., Kai, Sami, Tommi
-
Characteristics of a Protocol to Collect Objective Physical Activity/Sedentary Behavior Data in a Large Study: Seniors USP (Understanding Sedentary Patterns)
Citation: 34
Authors: Philippa M., Dawn A., Manon L., Elaine H., Sally, Simon R., Richard J., Iva, Claire F., Carolyn A., Malcolm H., Geoff, Ian J., Sebastien F.M.
-
Providing a Basis for Harmonization of Accelerometer-Assessed Physical Activity Outcomes Across Epidemiological Datasets
Citation: 33
Authors: Alex V., Tatiana, Tom, Evgeny M., Melanie, Kamlesh, Charlotte L.
-
A Machine Learning Classifier for Detection of Physical Activity Types and Postures During Free-Living
Citation: 32
Authors: Kerstin, Atle, Hilde, Ellen Marie, HÃ¥kon S., Sverre, Aleksej, Paul Jarle
-
Implications and Recommendations for Equivalence Testing in Measures of Movement Behaviors: A Scoping Review
Citation: 29
Authors: Myles W.
-
Using Devices to Assess Physical Activity and Sedentary Behavior in a Large Cohort Study: The Women’s Health Study
Citation: 28
Authors: I-Min, Eric J., Kelly R., Masamitsu, Andrea Z., Julie E.
-
Comparison of Sedentary Time Between Thigh-Worn and Wrist-Worn Accelerometers
Citation: 27
Authors: Kristin, Anna, Tuija, Jaana, Andreas, Olli J., Juha, Jussi, Sari