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X Demographics
Mendeley readers
Attention Score in Context
Title |
Accurate and objective determination of myalgic encephalomyelitis/chronic fatigue syndrome disease severity with a wearable sensor
|
---|---|
Published in |
Journal of Translational Medicine, November 2020
|
DOI | 10.1186/s12967-020-02583-7 |
Pubmed ID | |
Authors |
Turner Palombo, Andrea Campos, Suzanne D. Vernon, Shad Roundy |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 24% |
Ireland | 1 | 6% |
United States | 1 | 6% |
Finland | 1 | 6% |
Belgium | 1 | 6% |
Unknown | 9 | 53% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 76% |
Science communicators (journalists, bloggers, editors) | 2 | 12% |
Practitioners (doctors, other healthcare professionals) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 17% |
Student > Master | 3 | 8% |
Unspecified | 2 | 6% |
Student > Ph. D. Student | 2 | 6% |
Student > Doctoral Student | 2 | 6% |
Other | 4 | 11% |
Unknown | 17 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 4 | 11% |
Unspecified | 2 | 6% |
Business, Management and Accounting | 2 | 6% |
Physics and Astronomy | 2 | 6% |
Computer Science | 2 | 6% |
Other | 9 | 25% |
Unknown | 15 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 12 December 2020.
All research outputs
#1,829,031
of 23,577,761 outputs
Outputs from Journal of Translational Medicine
#304
of 4,186 outputs
Outputs of similar age
#48,228
of 417,185 outputs
Outputs of similar age from Journal of Translational Medicine
#14
of 92 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,186 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 92% 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 417,185 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 88% of its contemporaries.
We're also able to compare this research output to 92 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.