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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Investigating genes associated with heart failure, atrial fibrillation, and other cardiovascular diseases, and predicting disease using machine learning techniques for translational research and precision medicine
|
|---|---|
| Published in |
Genomics, February 2023
|
| DOI | 10.1016/j.ygeno.2023.110584 |
| Pubmed ID | |
| Authors |
Vignesh Venkat, Habiba Abdelhalim, William DeGroat, Saman Zeeshan, Zeeshan Ahmed |
X Demographics
The data shown below were collected from the profiles of 13 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 | 3 | 23% |
| Italy | 1 | 8% |
| Poland | 1 | 8% |
| Sweden | 1 | 8% |
| India | 1 | 8% |
| Iraq | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 69% |
| Scientists | 3 | 23% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
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 % |
|---|---|---|
| Other | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Professor | 2 | 5% |
| Student > Master | 2 | 5% |
| Other | 5 | 14% |
| Unknown | 22 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 11% |
| Medicine and Dentistry | 4 | 11% |
| Engineering | 3 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 24 | 65% |
Attention Score in Context
This research output has an Altmetric Attention Score of 225. 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 21 February 2024.
All research outputs
#173,580
of 25,738,558 outputs
Outputs from Genomics
#3
of 5,940 outputs
Outputs of similar age
#4,627
of 429,766 outputs
Outputs of similar age from Genomics
#1
of 27 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,940 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 99% 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 429,766 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.