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A Dynamic Neuro-Fuzzy Model Providing Bio-State Estimation and Prognosis Prediction for Wearable Intelligent Assistants

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, June 2005
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Mentioned by

patent
4 patents

Citations

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11 Dimensions

Readers on

mendeley
66 Mendeley
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Title
A Dynamic Neuro-Fuzzy Model Providing Bio-State Estimation and Prognosis Prediction for Wearable Intelligent Assistants
Published in
Journal of NeuroEngineering and Rehabilitation, June 2005
DOI 10.1186/1743-0003-2-15
Pubmed ID
Authors

Yu Wang, Jack M Winters

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Czechia 1 2%
Unknown 64 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 15%
Student > Master 10 15%
Student > Ph. D. Student 6 9%
Student > Bachelor 5 8%
Other 4 6%
Other 14 21%
Unknown 17 26%
Readers by discipline Count As %
Medicine and Dentistry 9 14%
Computer Science 8 12%
Engineering 8 12%
Nursing and Health Professions 5 8%
Business, Management and Accounting 3 5%
Other 17 26%
Unknown 16 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 November 2023.
All research outputs
#7,730,464
of 23,509,982 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#514
of 1,311 outputs
Outputs of similar age
#20,454
of 57,295 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#3
of 9 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,311 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 56% of its peers.
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 57,295 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.