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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine Learning-Based prediction of Post-Treatment ambulatory blood pressure in patients with hypertension
|
|---|---|
| Published in |
Blood Pressure, May 2023
|
| DOI | 10.1080/08037051.2023.2209674 |
| Pubmed ID | |
| Authors |
Hyeonyong Hae, Soo-Jin Kang, Tae Oh Kim, Pil Hyung Lee, Seung-Whan Lee, Young-Hak Kim, Cheol Whan Lee, Seong-Wook Park |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 6 | 33% |
| Mexico | 1 | 6% |
| Peru | 1 | 6% |
| Argentina | 1 | 6% |
| Bolivia, Plurinational State of | 1 | 6% |
| Colombia | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 6 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 67% |
| Practitioners (doctors, other healthcare professionals) | 4 | 22% |
| Scientists | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 13% |
| Student > Bachelor | 2 | 13% |
| Unspecified | 1 | 6% |
| Other | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 7 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 13% |
| Unspecified | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Computer Science | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 9 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 26 May 2023.
All research outputs
#3,642,401
of 24,857,051 outputs
Outputs from Blood Pressure
#35
of 345 outputs
Outputs of similar age
#64,358
of 371,629 outputs
Outputs of similar age from Blood Pressure
#1
of 4 outputs
Altmetric has tracked 24,857,051 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 345 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. 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 371,629 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 82% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them