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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Blood Pressure Estimation Using Photoplethysmography Only: Comparison between Different Machine Learning Approaches
|
|---|---|
| Published in |
Journal of Healthcare Engineering, October 2018
|
| DOI | 10.1155/2018/1548647 |
| Pubmed ID | |
| Authors |
Syed Ghufran Khalid, Jufen Zhang, Fei Chen, Dingchang Zheng |
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 % |
|---|---|---|
| Denmark | 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 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 244 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 36 | 15% |
| Student > Master | 31 | 13% |
| Researcher | 27 | 11% |
| Student > Ph. D. Student | 26 | 11% |
| Student > Doctoral Student | 14 | 6% |
| Other | 23 | 9% |
| Unknown | 87 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 79 | 32% |
| Computer Science | 24 | 10% |
| Medicine and Dentistry | 19 | 8% |
| Agricultural and Biological Sciences | 4 | 2% |
| Neuroscience | 4 | 2% |
| Other | 14 | 6% |
| Unknown | 100 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 September 2022.
All research outputs
#4,296,502
of 23,330,477 outputs
Outputs from Journal of Healthcare Engineering
#60
of 935 outputs
Outputs of similar age
#86,298
of 351,171 outputs
Outputs of similar age from Journal of Healthcare Engineering
#2
of 13 outputs
Altmetric has tracked 23,330,477 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 935 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 91% 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 351,171 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.