| Title |
Genetic risk factors for severe and fatigue dominant long COVID and commonalities with ME/CFS identified by combinatorial analysis
|
|---|---|
| Published in |
Journal of Translational Medicine, November 2023
|
| DOI | 10.1186/s12967-023-04588-4 |
| Pubmed ID | |
| Authors |
Krystyna Taylor, Matthew Pearson, Sayoni Das, Jason Sardell, Karolina Chocian, Steve Gardner |
X Demographics
The data shown below were collected from the profiles of 157 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 | 17 | 11% |
| United States | 15 | 10% |
| Spain | 9 | 6% |
| Japan | 3 | 2% |
| Mexico | 3 | 2% |
| Germany | 2 | 1% |
| Canada | 2 | 1% |
| Australia | 2 | 1% |
| Netherlands | 2 | 1% |
| Other | 12 | 8% |
| Unknown | 90 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 130 | 83% |
| Practitioners (doctors, other healthcare professionals) | 10 | 6% |
| Scientists | 10 | 6% |
| Science communicators (journalists, bloggers, editors) | 7 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 15% |
| Other | 3 | 11% |
| Researcher | 3 | 11% |
| Unspecified | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Other | 1 | 4% |
| Unknown | 12 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 11% |
| Medicine and Dentistry | 3 | 11% |
| Unspecified | 2 | 7% |
| Chemical Engineering | 2 | 7% |
| Immunology and Microbiology | 1 | 4% |
| Other | 3 | 11% |
| Unknown | 13 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 102. 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 06 May 2024.
All research outputs
#422,730
of 25,863,888 outputs
Outputs from Journal of Translational Medicine
#93
of 4,731 outputs
Outputs of similar age
#7,532
of 366,937 outputs
Outputs of similar age from Journal of Translational Medicine
#3
of 156 outputs
Altmetric has tracked 25,863,888 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 4,731 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. 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 366,937 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 156 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 98% of its contemporaries.