The data shown below were collected from the profiles of 263 X users who shared this research output. Click here to find out more about how the information was compiled.
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| Title |
Accuracy in Wrist-Worn, Sensor-Based Measurements of Heart Rate and Energy Expenditure in a Diverse Cohort
|
|---|---|
| Published in |
Journal of Personalized Medicine, May 2017
|
| DOI | 10.3390/jpm7020003 |
| Pubmed ID | |
| Authors |
Anna Shcherbina, C. Mikael Mattsson, Daryl Waggott, Heidi Salisbury, Jeffrey W. Christle, Trevor Hastie, Matthew T. Wheeler, Euan A. Ashley |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 55 | 21% |
| United Kingdom | 13 | 5% |
| Spain | 10 | 4% |
| Canada | 7 | 3% |
| France | 5 | 2% |
| Ireland | 5 | 2% |
| Switzerland | 3 | 1% |
| Germany | 3 | 1% |
| Brazil | 3 | 1% |
| Other | 36 | 14% |
| Unknown | 123 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 203 | 77% |
| Scientists | 32 | 12% |
| Practitioners (doctors, other healthcare professionals) | 26 | 10% |
| Science communicators (journalists, bloggers, editors) | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 766 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| United States | 1 | <1% |
| Denmark | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 761 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 122 | 16% |
| Student > Bachelor | 105 | 14% |
| Researcher | 103 | 13% |
| Student > Master | 72 | 9% |
| Other | 38 | 5% |
| Other | 113 | 15% |
| Unknown | 213 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 94 | 12% |
| Medicine and Dentistry | 94 | 12% |
| Sports and Recreations | 77 | 10% |
| Computer Science | 62 | 8% |
| Nursing and Health Professions | 31 | 4% |
| Other | 159 | 21% |
| Unknown | 249 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1922. 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 23 June 2024.
All research outputs
#5,226
of 26,356,696 outputs
Outputs from Journal of Personalized Medicine
#1
of 3,738 outputs
Outputs of similar age
#63
of 332,119 outputs
Outputs of similar age from Journal of Personalized Medicine
#1
of 3 outputs
Altmetric has tracked 26,356,696 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 3,738 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 99% 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 332,119 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 3 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