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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Curvelet based automatic segmentation of supraspinatus tendon from ultrasound image: a focused assistive diagnostic method
|
|---|---|
| Published in |
BioMedical Engineering OnLine, December 2014
|
| DOI | 10.1186/1475-925x-13-157 |
| Pubmed ID | |
| Authors |
Rishu Gupta, Irraivan Elamvazuthi, Sarat Chandra Dass, Ibrahima Faye, Pandian Vasant, John George, Faizatul Izza |
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 % |
|---|---|---|
| Unknown | 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| India | 1 | 2% |
| Unknown | 60 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 26% |
| Student > Master | 7 | 11% |
| Student > Bachelor | 6 | 10% |
| Lecturer > Senior Lecturer | 4 | 6% |
| Researcher | 3 | 5% |
| Other | 14 | 23% |
| Unknown | 12 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 18% |
| Medicine and Dentistry | 10 | 16% |
| Computer Science | 7 | 11% |
| Nursing and Health Professions | 5 | 8% |
| Sports and Recreations | 5 | 8% |
| Other | 8 | 13% |
| Unknown | 16 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 29 December 2022.
All research outputs
#4,609,759
of 23,437,201 outputs
Outputs from BioMedical Engineering OnLine
#119
of 835 outputs
Outputs of similar age
#65,580
of 364,338 outputs
Outputs of similar age from BioMedical Engineering OnLine
#3
of 28 outputs
Altmetric has tracked 23,437,201 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 835 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 85% 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 364,338 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 81% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.