The data shown below were collected from the profiles of 297 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine-learning-based high-benefit approach versus conventional high-risk approach in blood pressure management
|
|---|---|
| Published in |
International Journal of Epidemiology, April 2023
|
| DOI | 10.1093/ije/dyad037 |
| Pubmed ID | |
| Authors |
Kosuke Inoue, Susan Athey, Yusuke Tsugawa |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 45 | 15% |
| United States | 10 | 3% |
| United Kingdom | 3 | 1% |
| India | 1 | <1% |
| Unknown | 238 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 267 | 90% |
| Scientists | 19 | 6% |
| Practitioners (doctors, other healthcare professionals) | 7 | 2% |
| Science communicators (journalists, bloggers, editors) | 4 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 8 | 20% |
| Student > Ph. D. Student | 6 | 15% |
| Researcher | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 16 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 25% |
| Nursing and Health Professions | 2 | 5% |
| Computer Science | 2 | 5% |
| Economics, Econometrics and Finance | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 19 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 266. 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 15 December 2023.
All research outputs
#145,397
of 26,567,854 outputs
Outputs from International Journal of Epidemiology
#90
of 5,988 outputs
Outputs of similar age
#3,679
of 431,620 outputs
Outputs of similar age from International Journal of Epidemiology
#2
of 56 outputs
Altmetric has tracked 26,567,854 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 5,988 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.5. This one has done particularly well, scoring higher than 98% 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 431,620 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 99% of its contemporaries.
We're also able to compare this research output to 56 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.