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Estimation of human trunk movements by wearable strain sensors and improvement of sensor’s placement on intelligent biomedical clothes

Overview of attention for article published in BioMedical Engineering OnLine, December 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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10 X users

Citations

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35 Dimensions

Readers on

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72 Mendeley
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Title
Estimation of human trunk movements by wearable strain sensors and improvement of sensor’s placement on intelligent biomedical clothes
Published in
BioMedical Engineering OnLine, December 2012
DOI 10.1186/1475-925x-11-95
Pubmed ID
Authors

Paolo Tormene, Michelangelo Bartolo, Alessandro M De Nunzio, Federica Fecchio, Silvana Quaglini, Cristina Tassorelli, Giorgio Sandrini

Abstract

The aim of this study was to evaluate the concept of a wearable device and, specifically: 1) to design and implement analysis procedures to extract clinically relevant information from data recorded using the wearable system; 2) to evaluate the design and placement of the strain sensors.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
United States 1 1%
Italy 1 1%
Unknown 69 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 18%
Student > Bachelor 11 15%
Student > Ph. D. Student 10 14%
Researcher 9 13%
Other 8 11%
Other 10 14%
Unknown 11 15%
Readers by discipline Count As %
Engineering 26 36%
Medicine and Dentistry 6 8%
Nursing and Health Professions 4 6%
Computer Science 4 6%
Materials Science 3 4%
Other 12 17%
Unknown 17 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 03 January 2013.
All research outputs
#7,023,426
of 25,653,515 outputs
Outputs from BioMedical Engineering OnLine
#170
of 871 outputs
Outputs of similar age
#67,499
of 287,817 outputs
Outputs of similar age from BioMedical Engineering OnLine
#1
of 14 outputs
Altmetric has tracked 25,653,515 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 871 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 80% 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 287,817 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.