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Modeling the Intention and Adoption of Wearable Fitness Devices: A Study Using SEM-PLS Analysis

Overview of attention for article published in Frontiers in Public Health, July 2022
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Mentioned by

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1 X user

Citations

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14 Dimensions

Readers on

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42 Mendeley
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Title
Modeling the Intention and Adoption of Wearable Fitness Devices: A Study Using SEM-PLS Analysis
Published in
Frontiers in Public Health, July 2022
DOI 10.3389/fpubh.2022.918989
Pubmed ID
Authors

Qing Yang, Abdullah Al Mamun, Naeem Hayat, Gao Jingzu, Mohammad Enamul Hoque, Anas A. Salameh

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 14%
Lecturer 4 10%
Student > Bachelor 2 5%
Lecturer > Senior Lecturer 1 2%
Unspecified 1 2%
Other 3 7%
Unknown 25 60%
Readers by discipline Count As %
Business, Management and Accounting 4 10%
Social Sciences 3 7%
Nursing and Health Professions 3 7%
Arts and Humanities 2 5%
Computer Science 2 5%
Other 2 5%
Unknown 26 62%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 July 2022.
All research outputs
#20,273,512
of 22,805,349 outputs
Outputs from Frontiers in Public Health
#7,478
of 9,798 outputs
Outputs of similar age
#346,861
of 434,306 outputs
Outputs of similar age from Frontiers in Public Health
#932
of 1,273 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,798 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 434,306 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,273 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.