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A hierarchical approach to real-time activity recognition in body sensor networks

Overview of attention for article published in Pervasive and Mobile Computing, February 2012
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  • Average Attention Score compared to outputs of the same age

Mentioned by

q&a
1 Q&A thread

Citations

dimensions_citation
99 Dimensions

Readers on

mendeley
106 Mendeley
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Title
A hierarchical approach to real-time activity recognition in body sensor networks
Published in
Pervasive and Mobile Computing, February 2012
DOI 10.1016/j.pmcj.2010.12.001
Authors

Liang Wang, Tao Gu, Xianping Tao, Jian Lu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 2 2%
Brazil 2 2%
Germany 1 <1%
Korea, Republic of 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 98 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 37%
Student > Master 14 13%
Researcher 10 9%
Student > Doctoral Student 7 7%
Student > Postgraduate 5 5%
Other 16 15%
Unknown 15 14%
Readers by discipline Count As %
Computer Science 60 57%
Engineering 21 20%
Environmental Science 1 <1%
Business, Management and Accounting 1 <1%
Agricultural and Biological Sciences 1 <1%
Other 7 7%
Unknown 15 14%
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 22 May 2012.
All research outputs
#14,600,553
of 25,374,647 outputs
Outputs from Pervasive and Mobile Computing
#205
of 315 outputs
Outputs of similar age
#152,965
of 253,532 outputs
Outputs of similar age from Pervasive and Mobile Computing
#4
of 5 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 315 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 34th percentile – i.e., 34% 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 253,532 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.