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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseases
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2021
|
| DOI | 10.1186/s12911-021-01392-2 |
| Pubmed ID | |
| Authors |
Imjin Ahn, Wonjun Na, Osung Kwon, Dong Hyun Yang, Gyung-Min Park, Hansle Gwon, Hee Jun Kang, Yeon Uk Jeong, Jungsun Yoo, Yunha Kim, Tae Joon Jun, Young-Hak Kim |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 33% |
| France | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 9% |
| Researcher | 4 | 7% |
| Student > Doctoral Student | 4 | 7% |
| Other | 3 | 6% |
| Student > Ph. D. Student | 3 | 6% |
| Other | 8 | 15% |
| Unknown | 27 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 15% |
| Computer Science | 5 | 9% |
| Social Sciences | 3 | 6% |
| Nursing and Health Professions | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 30 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 30 January 2021.
All research outputs
#15,665,271
of 23,275,636 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,336
of 2,023 outputs
Outputs of similar age
#306,476
of 505,652 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#43
of 71 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,023 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 505,652 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.