↓ Skip to main content

Building generic anatomical models using virtual model cutting and iterative registration

Overview of attention for article published in BMC Medical Imaging, February 2010
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#47 of 279)
  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

patent
2 patents

Readers on

mendeley
20 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Building generic anatomical models using virtual model cutting and iterative registration
Published in
BMC Medical Imaging, February 2010
DOI 10.1186/1471-2342-10-5
Pubmed ID
Authors

Mei Xiao, Jung Soh, Oscar Meruvia-Pastor, Eric Schmidt, Benedikt Hallgrímsson, Christoph W Sensen

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Unknown 19 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 30%
Student > Master 4 20%
Student > Ph. D. Student 4 20%
Professor 3 15%
Other 1 5%
Other 2 10%
Readers by discipline Count As %
Computer Science 5 25%
Engineering 5 25%
Medicine and Dentistry 4 20%
Agricultural and Biological Sciences 2 10%
Psychology 1 5%
Other 3 15%

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 13 February 2018.
All research outputs
#3,629,022
of 12,498,628 outputs
Outputs from BMC Medical Imaging
#47
of 279 outputs
Outputs of similar age
#102,826
of 272,844 outputs
Outputs of similar age from BMC Medical Imaging
#1
of 1 outputs
Altmetric has tracked 12,498,628 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 279 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done well, scoring higher than 78% 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 272,844 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them