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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Impact of fatigue as the primary determinant of functional limitations among patients with post-COVID-19 syndrome: a cross-sectional observational study
|
|---|---|
| Published in |
BMJ Open, June 2023
|
| DOI | 10.1136/bmjopen-2022-069217 |
| Pubmed ID | |
| Authors |
Sarah Walker, Henry Goodfellow, Patra Pookarnjanamorakot, Elizabeth Murray, Julia Bindman, Ann Blandford, Katherine Bradbury, Belinda Cooper, Fiona L Hamilton, John R Hurst, Hannah Hylton, Stuart Linke, Paul Pfeffer, William Ricketts, Chris Robson, Fiona A Stevenson, David Sunkersing, Jiunn Wang, Manuel Gomes, William Henley, Living With Covid Recovery Collaboration |
Twitter Demographics
The data shown below were collected from the profiles of 1,633 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 210 | 13% |
| United States | 169 | 10% |
| Canada | 47 | 3% |
| Japan | 39 | 2% |
| Germany | 33 | 2% |
| Australia | 28 | 2% |
| France | 20 | 1% |
| Netherlands | 16 | <1% |
| Spain | 14 | <1% |
| Other | 108 | 7% |
| Unknown | 949 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1418 | 87% |
| Practitioners (doctors, other healthcare professionals) | 97 | 6% |
| Scientists | 79 | 5% |
| Science communicators (journalists, bloggers, editors) | 38 | 2% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 21 | 49% |
| Researcher | 5 | 12% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Master | 3 | 7% |
| Professor > Associate Professor | 2 | 5% |
| Other | 4 | 9% |
| Unknown | 4 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 21 | 49% |
| Medicine and Dentistry | 5 | 12% |
| Nursing and Health Professions | 4 | 9% |
| Neuroscience | 3 | 7% |
| Computer Science | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 7 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1173. 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 17 September 2023.
All research outputs
#11,516
of 24,524,436 outputs
Outputs from BMJ Open
#19
of 24,541 outputs
Outputs of similar age
#346
of 362,916 outputs
Outputs of similar age from BMJ Open
#2
of 653 outputs
Altmetric has tracked 24,524,436 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 24,541 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. 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 362,916 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 653 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 99% of its contemporaries.