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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning models to identify low adherence to influenza vaccination among Korean adults with cardiovascular disease
|
|---|---|
| Published in |
BMC Cardiovascular Disorders, March 2021
|
| DOI | 10.1186/s12872-021-01925-7 |
| Pubmed ID | |
| Authors |
Moojung Kim, Young Jae Kim, Sung Jin Park, Kwang Gi Kim, Pyung Chun Oh, Young Saing Kim, Eun Young Kim |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 98 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 17% |
| Student > Ph. D. Student | 9 | 9% |
| Student > Bachelor | 9 | 9% |
| Researcher | 6 | 6% |
| Student > Doctoral Student | 4 | 4% |
| Other | 15 | 15% |
| Unknown | 38 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 13 | 13% |
| Medicine and Dentistry | 9 | 9% |
| Engineering | 7 | 7% |
| Computer Science | 6 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Other | 20 | 20% |
| Unknown | 40 | 41% |
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 23 March 2021.
All research outputs
#20,695,192
of 23,294,050 outputs
Outputs from BMC Cardiovascular Disorders
#1,368
of 1,668 outputs
Outputs of similar age
#362,116
of 422,501 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#47
of 57 outputs
Altmetric has tracked 23,294,050 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,668 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% 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 422,501 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.