Title |
Machine Learning in Cardiology: A Potential Real-World Solution in Low- and Middle-Income Countries
|
---|---|
Published in |
Journal of Multidisciplinary Healthcare, January 2023
|
DOI | 10.2147/jmdh.s383810 |
Pubmed ID | |
Authors |
Mohamad S Alabdaljabar, Babar Hasan, Peter A Noseworthy, Joseph F Maalouf, Naser M Ammash, Shahrukh K Hashmi |
X Demographics
The data shown below were collected from the profiles of 15 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 States | 5 | 33% |
Spain | 2 | 13% |
United Kingdom | 2 | 13% |
Switzerland | 1 | 7% |
Nigeria | 1 | 7% |
Mexico | 1 | 7% |
Unknown | 3 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 80% |
Scientists | 2 | 13% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 11% |
Unspecified | 2 | 6% |
Student > Bachelor | 2 | 6% |
Other | 1 | 3% |
Student > Master | 1 | 3% |
Other | 2 | 6% |
Unknown | 24 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 6% |
Engineering | 2 | 6% |
Medicine and Dentistry | 2 | 6% |
Computer Science | 2 | 6% |
Chemical Engineering | 1 | 3% |
Other | 3 | 8% |
Unknown | 24 | 67% |
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 03 February 2023.
All research outputs
#5,416,422
of 25,656,290 outputs
Outputs from Journal of Multidisciplinary Healthcare
#222
of 1,009 outputs
Outputs of similar age
#110,961
of 478,884 outputs
Outputs of similar age from Journal of Multidisciplinary Healthcare
#6
of 45 outputs
Altmetric has tracked 25,656,290 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,009 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 77% 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 478,884 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 76% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.