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MR thermometry characterization of a hyperthermia ultrasound array designed using the k-space computational method

Overview of attention for article published in BioMedical Engineering OnLine, October 2006
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
40 Mendeley
citeulike
1 CiteULike
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Title
MR thermometry characterization of a hyperthermia ultrasound array designed using the k-space computational method
Published in
BioMedical Engineering OnLine, October 2006
DOI 10.1186/1475-925x-5-56
Pubmed ID
Authors

Osama M Al-Bataineh, Christopher M Collins, Eun-Joo Park, Hotaik Lee, Nadine Barrie Smith

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 3%
Belgium 1 3%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Ph. D. Student 7 18%
Student > Postgraduate 4 10%
Student > Doctoral Student 4 10%
Lecturer 3 8%
Other 11 28%
Unknown 3 8%
Readers by discipline Count As %
Medicine and Dentistry 13 33%
Engineering 12 30%
Computer Science 2 5%
Physics and Astronomy 2 5%
Agricultural and Biological Sciences 1 3%
Other 4 10%
Unknown 6 15%
Attention Score in Context

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 26 July 2017.
All research outputs
#7,535,755
of 22,992,311 outputs
Outputs from BioMedical Engineering OnLine
#212
of 824 outputs
Outputs of similar age
#23,920
of 68,717 outputs
Outputs of similar age from BioMedical Engineering OnLine
#2
of 4 outputs
Altmetric has tracked 22,992,311 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 824 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 62% 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 68,717 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.