| Title |
A SWATH-MS analysis of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome peripheral blood mononuclear cell proteomes reveals mitochondrial dysfunction
|
|---|---|
| Published in |
Journal of Translational Medicine, September 2020
|
| DOI | 10.1186/s12967-020-02533-3 |
| Pubmed ID | |
| Authors |
Eiren Sweetman, Torsten Kleffmann, Christina Edgar, Michel de Lange, Rosamund Vallings, Warren Tate |
X Demographics
The data shown below were collected from the profiles of 153 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 | 16 | 10% |
| Germany | 13 | 8% |
| United States | 11 | 7% |
| New Zealand | 6 | 4% |
| Australia | 5 | 3% |
| Spain | 3 | 2% |
| Norway | 2 | 1% |
| Canada | 2 | 1% |
| Belgium | 2 | 1% |
| Other | 10 | 7% |
| Unknown | 83 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 128 | 84% |
| Scientists | 11 | 7% |
| Practitioners (doctors, other healthcare professionals) | 10 | 7% |
| Science communicators (journalists, bloggers, editors) | 4 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 17% |
| Student > Bachelor | 7 | 11% |
| Student > Master | 4 | 6% |
| Other | 4 | 6% |
| Student > Ph. D. Student | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 28 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 14% |
| Biochemistry, Genetics and Molecular Biology | 7 | 11% |
| Neuroscience | 4 | 6% |
| Social Sciences | 2 | 3% |
| Computer Science | 1 | 2% |
| Other | 12 | 19% |
| Unknown | 28 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 106. 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 03 April 2024.
All research outputs
#405,533
of 25,793,330 outputs
Outputs from Journal of Translational Medicine
#87
of 4,714 outputs
Outputs of similar age
#12,060
of 431,850 outputs
Outputs of similar age from Journal of Translational Medicine
#6
of 98 outputs
Altmetric has tracked 25,793,330 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 98% 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 431,850 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 97% of its contemporaries.
We're also able to compare this research output to 98 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 93% of its contemporaries.