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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Digital health technology combining wearable gait sensors and machine learning improve the accuracy in prediction of frailty
|
|---|---|
| Published in |
Frontiers in Public Health, July 2023
|
| DOI | 10.3389/fpubh.2023.1169083 |
| Pubmed ID | |
| Authors |
Shaoyi Fan, Jieshun Ye, Qing Xu, Runxin Peng, Bin Hu, Zhong Pei, Zhimin Yang, Fuping Xu |
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 % |
|---|---|---|
| Switzerland | 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 8% |
| Researcher | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Unspecified | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 14 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 3 | 13% |
| Unspecified | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Nursing and Health Professions | 1 | 4% |
| Decision Sciences | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 15 | 63% |
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 21 July 2023.
All research outputs
#21,604,768
of 24,115,737 outputs
Outputs from Frontiers in Public Health
#8,692
of 12,055 outputs
Outputs of similar age
#135,654
of 164,641 outputs
Outputs of similar age from Frontiers in Public Health
#178
of 409 outputs
Altmetric has tracked 24,115,737 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 12,055 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 164,641 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 409 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.