The data shown below were collected from the profiles of 15 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 |
Leveraging Mobile-Based Sensors for Clinical Research to Obtain Activity and Health Measures for Disease Monitoring, Prevention, and Treatment
|
|---|---|
| Published in |
Frontiers in Digital Health, June 2022
|
| DOI | 10.3389/fdgth.2022.893070 |
| Pubmed ID | |
| Authors |
Hari G. Dandapani, Natalie M. Davoodi, Lucie C. Joerg, Melinda M. Li, Daniel H. Strauss, Kelly Fan, Talie Massachi, Elizabeth M. Goldberg |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 73% |
| Canada | 1 | 7% |
| Unknown | 3 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 33% |
| Members of the public | 5 | 33% |
| Practitioners (doctors, other healthcare professionals) | 3 | 20% |
| Science communicators (journalists, bloggers, editors) | 2 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Researcher | 2 | 7% |
| Other | 1 | 3% |
| Student > Doctoral Student | 1 | 3% |
| Other | 4 | 14% |
| Unknown | 15 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 5 | 17% |
| Medicine and Dentistry | 2 | 7% |
| Computer Science | 2 | 7% |
| Business, Management and Accounting | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 17 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 04 July 2022.
All research outputs
#3,904,431
of 22,788,370 outputs
Outputs from Frontiers in Digital Health
#130
of 536 outputs
Outputs of similar age
#83,302
of 438,503 outputs
Outputs of similar age from Frontiers in Digital Health
#19
of 69 outputs
Altmetric has tracked 22,788,370 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 536 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has done well, scoring higher than 75% 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 438,503 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 80% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.