The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Review of case definitions for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)
|
---|---|
Published in |
Journal of Translational Medicine, July 2020
|
DOI | 10.1186/s12967-020-02455-0 |
Pubmed ID | |
Authors |
Eun-Jin Lim, Chang-Gue Son |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 9% |
Germany | 2 | 6% |
United Kingdom | 2 | 6% |
Australia | 1 | 3% |
Poland | 1 | 3% |
Ireland | 1 | 3% |
Spain | 1 | 3% |
Unknown | 21 | 66% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 27 | 84% |
Scientists | 3 | 9% |
Practitioners (doctors, other healthcare professionals) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 112 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 16 | 14% |
Researcher | 11 | 10% |
Student > Ph. D. Student | 8 | 7% |
Student > Master | 8 | 7% |
Other | 7 | 6% |
Other | 13 | 12% |
Unknown | 49 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 14% |
Biochemistry, Genetics and Molecular Biology | 8 | 7% |
Psychology | 8 | 7% |
Nursing and Health Professions | 5 | 4% |
Computer Science | 4 | 4% |
Other | 19 | 17% |
Unknown | 52 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 25 March 2024.
All research outputs
#1,363,443
of 26,385,541 outputs
Outputs from Journal of Translational Medicine
#261
of 4,896 outputs
Outputs of similar age
#36,766
of 431,863 outputs
Outputs of similar age from Journal of Translational Medicine
#11
of 87 outputs
Altmetric has tracked 26,385,541 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,896 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done particularly well, scoring higher than 94% 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 431,863 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 91% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.