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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting the Risk of Hypertension Based on Several Easy-to-Collect Risk Factors: A Machine Learning Method
|
|---|---|
| Published in |
Frontiers in Public Health, September 2021
|
| DOI | 10.3389/fpubh.2021.619429 |
| Pubmed ID | |
| Authors |
Huanhuan Zhao, Xiaoyu Zhang, Yang Xu, Lisheng Gao, Zuchang Ma, Yining Sun, Weimin Wang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 9% |
| Student > Bachelor | 6 | 8% |
| Other | 3 | 4% |
| Student > Postgraduate | 3 | 4% |
| Unspecified | 3 | 4% |
| Other | 14 | 19% |
| Unknown | 39 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 12% |
| Nursing and Health Professions | 4 | 5% |
| Computer Science | 4 | 5% |
| Unspecified | 3 | 4% |
| Engineering | 3 | 4% |
| Other | 10 | 13% |
| Unknown | 42 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 20 December 2021.
All research outputs
#2,769,309
of 26,473,472 outputs
Outputs from Frontiers in Public Health
#1,367
of 14,996 outputs
Outputs of similar age
#60,525
of 441,027 outputs
Outputs of similar age from Frontiers in Public Health
#55
of 558 outputs
Altmetric has tracked 26,473,472 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,996 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 90% 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 441,027 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 86% of its contemporaries.
We're also able to compare this research output to 558 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.