| Title |
An intelligent noninvasive model for coronary artery disease detection
|
|---|---|
| Published in |
Complex & Intelligent Systems, July 2017
|
| DOI | 10.1007/s40747-017-0048-6 |
| Authors |
Luxmi Verma, Sangeet Srivastava, P. C. Negi |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Unknown | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 14% |
| Student > Doctoral Student | 4 | 11% |
| Researcher | 4 | 11% |
| Student > Ph. D. Student | 4 | 11% |
| Professor | 3 | 8% |
| Other | 6 | 16% |
| Unknown | 11 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 32% |
| Engineering | 5 | 14% |
| Medicine and Dentistry | 2 | 5% |
| Nursing and Health Professions | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 16 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 04 January 2022.
All research outputs
#6,418,321
of 22,805,349 outputs
Outputs from Complex & Intelligent Systems
#14
of 82 outputs
Outputs of similar age
#102,683
of 311,891 outputs
Outputs of similar age from Complex & Intelligent Systems
#1
of 3 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 82 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% 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 311,891 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 66% of its contemporaries.
We're also able to compare this research output to 3 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