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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Unravelling shared mechanisms: insights from recent ME/CFS research to illuminate long COVID pathologies
|
|---|---|
| Published in |
Trends in Molecular Medicine, March 2024
|
| DOI | 10.1016/j.molmed.2024.02.003 |
| Pubmed ID | |
| Authors |
Sarah J Annesley, Daniel Missailidis, Benjamin Heng, Elisha K Josev, Christopher W Armstrong |
X Demographics
The data shown below were collected from the profiles of 347 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 States | 60 | 17% |
| United Kingdom | 26 | 7% |
| Australia | 21 | 6% |
| Germany | 10 | 3% |
| Netherlands | 10 | 3% |
| Canada | 6 | 2% |
| Spain | 6 | 2% |
| Ireland | 4 | 1% |
| France | 3 | <1% |
| Other | 22 | 6% |
| Unknown | 179 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 296 | 85% |
| Practitioners (doctors, other healthcare professionals) | 20 | 6% |
| Scientists | 20 | 6% |
| Science communicators (journalists, bloggers, editors) | 11 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 35% |
| Unspecified | 5 | 29% |
| Student > Ph. D. Student | 2 | 12% |
| Professor > Associate Professor | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 2 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 6 | 35% |
| Biochemistry, Genetics and Molecular Biology | 4 | 24% |
| Immunology and Microbiology | 2 | 12% |
| Chemical Engineering | 1 | 6% |
| Engineering | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 3 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 217. 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 27 April 2024.
All research outputs
#181,924
of 25,804,096 outputs
Outputs from Trends in Molecular Medicine
#16
of 1,963 outputs
Outputs of similar age
#2,478
of 330,720 outputs
Outputs of similar age from Trends in Molecular Medicine
#1
of 41 outputs
Altmetric has tracked 25,804,096 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,963 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has done particularly well, scoring higher than 99% 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 330,720 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 99% of its contemporaries.
We're also able to compare this research output to 41 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 97% of its contemporaries.