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Mendeley readers
Attention Score in Context
| Title |
Detection of Subclinical Atherosclerosis in Peripheral Arterial Beds With B-Mode Ultrasound A Proposal for Guiding the Decision for Medical Intervention and an Artifact-Corrected Volumetric Scoring Index
|
|---|---|
| Published in |
Global Heart, December 2014
|
| DOI | 10.1016/j.gheart.2014.10.007 |
| Pubmed ID | |
| Authors |
Ram Bedi, Aslam Nagra, Takenori Fukumoto, Steven Lynum, Partho Sengupta, James Aw, Ivan Mefford, Sadik Raja Panwar, Nikhil Bansal, Puneet Insaan, Shaanemeet Singh, Rajababoo Panwar, Rajesh Vedanthan, Valentin Fuster, Jagat Narula |
| Abstract |
To assess subclinical atherosclerotic cardiovascular disease (ASCVD) using B-mode ultrasound, with special emphasis on the incremental value of performing imaging in multiple peripheral arteries, and to compare imaging findings with traditional risk factors for medical intervention eligibility. |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 4% |
| Unknown | 25 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 12% |
| Student > Bachelor | 3 | 12% |
| Student > Doctoral Student | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Other | 5 | 19% |
| Unknown | 9 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 23% |
| Nursing and Health Professions | 2 | 8% |
| Engineering | 2 | 8% |
| Psychology | 2 | 8% |
| Computer Science | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 11 | 42% |
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 13 January 2015.
All research outputs
#4,835,465
of 25,371,288 outputs
Outputs from Global Heart
#104
of 418 outputs
Outputs of similar age
#63,156
of 369,122 outputs
Outputs of similar age from Global Heart
#2
of 9 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 418 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has gotten more attention than average, scoring higher than 73% 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 369,122 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.