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Quasi-Multistatic MIST Beamforming for the Early Detection of Breast Cancer

Overview of attention for article published in IEEE Transactions on Biomedical Engineering, April 2010
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Quasi-Multistatic MIST Beamforming for the Early Detection of Breast Cancer
Published in
IEEE Transactions on Biomedical Engineering, April 2010
DOI 10.1109/tbme.2009.2016392
Pubmed ID
Authors

M. O'Halloran, E. Jones, M. Glavin

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 4%
Germany 1 2%
United States 1 2%
Egypt 1 2%
Unknown 52 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 30%
Student > Master 12 21%
Researcher 9 16%
Lecturer 4 7%
Professor > Associate Professor 4 7%
Other 9 16%
Unknown 2 4%
Readers by discipline Count As %
Engineering 40 70%
Medicine and Dentistry 2 4%
Physics and Astronomy 2 4%
Computer Science 2 4%
Agricultural and Biological Sciences 1 2%
Other 3 5%
Unknown 7 12%

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 14 December 2016.
All research outputs
#3,570,273
of 12,354,744 outputs
Outputs from IEEE Transactions on Biomedical Engineering
#921
of 3,309 outputs
Outputs of similar age
#102,481
of 273,397 outputs
Outputs of similar age from IEEE Transactions on Biomedical Engineering
#3
of 14 outputs
Altmetric has tracked 12,354,744 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,309 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 14th percentile – i.e., 14% 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 273,397 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 61% 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 well, scoring higher than 78% of its contemporaries.