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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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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

q&a
1 Q&A thread

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
84 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

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Malaysia 2 2%
Spain 1 1%
Germany 1 1%
United States 1 1%
Turkey 1 1%
Korea, Republic of 1 1%
Unknown 75 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 45%
Student > Master 15 18%
Researcher 8 10%
Student > Doctoral Student 6 7%
Professor > Associate Professor 5 6%
Other 12 14%
Readers by discipline Count As %
Computer Science 54 64%
Engineering 19 23%
Unspecified 5 6%
Economics, Econometrics and Finance 1 1%
Business, Management and Accounting 1 1%
Other 4 5%

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
#6,370,970
of 12,308,537 outputs
Outputs from Pervasive and Mobile Computing
#93
of 173 outputs
Outputs of similar age
#54,462
of 123,218 outputs
Outputs of similar age from Pervasive and Mobile Computing
#2
of 5 outputs
Altmetric has tracked 12,308,537 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 173 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 45th percentile – i.e., 45% 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 123,218 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
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. This one has scored higher than 3 of them.