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Dual-/tri-apodization techniques for high frequency ultrasound imaging: a simulation study

Overview of attention for article published in BioMedical Engineering OnLine, January 2014
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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 (85th percentile)

Mentioned by

twitter
2 tweeters
patent
1 patent
googleplus
1 Google+ user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Dual-/tri-apodization techniques for high frequency ultrasound imaging: a simulation study
Published in
BioMedical Engineering OnLine, January 2014
DOI 10.1186/1475-925x-13-143
Pubmed ID
Authors

Jin Sung, Jong Jeong

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Student > Master 2 20%
Student > Doctoral Student 1 10%
Student > Postgraduate 1 10%
Unknown 2 20%
Readers by discipline Count As %
Engineering 4 40%
Physics and Astronomy 1 10%
Computer Science 1 10%
Medicine and Dentistry 1 10%
Agricultural and Biological Sciences 1 10%
Other 0 0%
Unknown 2 20%

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 07 May 2019.
All research outputs
#3,832,184
of 14,969,286 outputs
Outputs from BioMedical Engineering OnLine
#97
of 626 outputs
Outputs of similar age
#49,502
of 214,449 outputs
Outputs of similar age from BioMedical Engineering OnLine
#2
of 14 outputs
Altmetric has tracked 14,969,286 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 626 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 84% 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 214,449 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 well, scoring higher than 85% of its contemporaries.