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Independent component analysis applied to the removal of motion artifacts from electrocardiographic signals

Overview of attention for article published in Medical & Biological Engineering & Computing, December 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

patent
4 patents

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
66 Mendeley
citeulike
1 CiteULike
Title
Independent component analysis applied to the removal of motion artifacts from electrocardiographic signals
Published in
Medical & Biological Engineering & Computing, December 2007
DOI 10.1007/s11517-007-0293-8
Pubmed ID
Authors

M. Milanesi, N. Martini, N. Vanello, V. Positano, M. F. Santarelli, L. Landini

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 States 2 3%
Ireland 1 2%
Germany 1 2%
Unknown 62 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 26%
Researcher 12 18%
Student > Ph. D. Student 11 17%
Student > Doctoral Student 6 9%
Professor 3 5%
Other 10 15%
Unknown 7 11%
Readers by discipline Count As %
Engineering 30 45%
Computer Science 9 14%
Medicine and Dentistry 6 9%
Nursing and Health Professions 1 2%
Agricultural and Biological Sciences 1 2%
Other 4 6%
Unknown 15 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 16 July 2019.
All research outputs
#5,446,210
of 25,371,288 outputs
Outputs from Medical & Biological Engineering & Computing
#167
of 2,053 outputs
Outputs of similar age
#23,406
of 167,219 outputs
Outputs of similar age from Medical & Biological Engineering & Computing
#2
of 5 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,053 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 77% 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 167,219 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 80% 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.