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.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Automated analysis of hip joint cartilage combining MR T2 and three‐dimensional fast‐spin‐echo images
|
---|---|
Published in |
Magnetic Resonance in Medicine, January 2015
|
DOI | 10.1002/mrm.25598 |
Pubmed ID | |
Authors |
Shekhar S Chandra, Rachel Surowiec, Charles Ho, Ying Xia, Craig Engstrom, Stuart Crozier, Jurgen Fripp |
Abstract |
To validate a fully automated scheme to extract biochemical information from the hip joint cartilages using MR T2 mapping images incorporating segmentation of co-registered three-dimensional Fast-Spin-Echo (3D-SPACE) images. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 42 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 19% |
Student > Master | 6 | 14% |
Student > Ph. D. Student | 4 | 10% |
Student > Doctoral Student | 3 | 7% |
Student > Postgraduate | 3 | 7% |
Other | 7 | 17% |
Unknown | 11 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 19% |
Engineering | 7 | 17% |
Computer Science | 5 | 12% |
Biochemistry, Genetics and Molecular Biology | 2 | 5% |
Neuroscience | 2 | 5% |
Other | 4 | 10% |
Unknown | 14 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 05 February 2015.
All research outputs
#18,395,895
of 22,786,087 outputs
Outputs from Magnetic Resonance in Medicine
#5,804
of 6,813 outputs
Outputs of similar age
#257,082
of 353,056 outputs
Outputs of similar age from Magnetic Resonance in Medicine
#35
of 47 outputs
Altmetric has tracked 22,786,087 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,813 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 11th percentile – i.e., 11% 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 353,056 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 47 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.