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Wrist accelerometer shape feature derivation methods for assessing activities of daily living

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
42 Mendeley
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Title
Wrist accelerometer shape feature derivation methods for assessing activities of daily living
Published in
BMC Medical Informatics and Decision Making, December 2018
DOI 10.1186/s12911-018-0671-1
Pubmed ID
Authors

Matin Kheirkhahan, Avirup Chakraborty, Amal A. Wanigatunga, Duane B. Corbett, Todd M. Manini, Sanjay Ranka

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 > Master 10 24%
Student > Ph. D. Student 4 10%
Student > Bachelor 4 10%
Professor 3 7%
Other 3 7%
Other 7 17%
Unknown 11 26%
Readers by discipline Count As %
Medicine and Dentistry 7 17%
Engineering 4 10%
Sports and Recreations 3 7%
Agricultural and Biological Sciences 2 5%
Nursing and Health Professions 2 5%
Other 8 19%
Unknown 16 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 January 2019.
All research outputs
#7,479,932
of 23,117,738 outputs
Outputs from BMC Medical Informatics and Decision Making
#757
of 2,013 outputs
Outputs of similar age
#152,742
of 436,996 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#20
of 51 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,013 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 61% 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 436,996 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 64% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.