| Title |
Increased risk of chronic fatigue syndrome following infection: a 17-year population-based cohort study
|
|---|---|
| Published in |
Journal of Translational Medicine, November 2023
|
| DOI | 10.1186/s12967-023-04636-z |
| Pubmed ID | |
| Authors |
Hsun Chang, Chien-Feng Kuo, Teng-Shun Yu, Liang-Yin Ke, Chung-Lieh Hung, Shin-Yi Tsai |
X Demographics
The data shown below were collected from the profiles of 57 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 | 6 | 11% |
| Japan | 4 | 7% |
| Austria | 4 | 7% |
| Germany | 4 | 7% |
| United States | 2 | 4% |
| Australia | 1 | 2% |
| Georgia | 1 | 2% |
| Unknown | 35 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 51 | 89% |
| Practitioners (doctors, other healthcare professionals) | 3 | 5% |
| Scientists | 2 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 25% |
| Student > Ph. D. Student | 1 | 13% |
| Professor > Associate Professor | 1 | 13% |
| Student > Doctoral Student | 1 | 13% |
| Unknown | 3 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 1 | 13% |
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Mathematics | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Neuroscience | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 3 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. 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 April 2024.
All research outputs
#1,077,431
of 25,836,587 outputs
Outputs from Journal of Translational Medicine
#215
of 4,723 outputs
Outputs of similar age
#18,008
of 360,775 outputs
Outputs of similar age from Journal of Translational Medicine
#7
of 143 outputs
Altmetric has tracked 25,836,587 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,723 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 95% 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 360,775 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 95% of its contemporaries.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.