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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Long-term post-acute sequelae of COVID-19 infection: a retrospective, multi-database cohort study in Hong Kong and the UK
|
|---|---|
| Published in |
eClinicalMedicine, May 2023
|
| DOI | 10.1016/j.eclinm.2023.102000 |
| Pubmed ID | |
| Authors |
Ivan Chun Hang Lam, Carlos King Ho Wong, Ran Zhang, Celine Sze Ling Chui, Francisco Tsz Tsun Lai, Xue Li, Esther Wai Yin Chan, Hao Luo, Qingpeng Zhang, Kenneth Keng Cheung Man, Bernard Man Yung Cheung, Sydney Chi Wai Tang, Chak Sing Lau, Eric Yuk Fai Wan, Ian Chi Kei Wong |
X Demographics
The data shown below were collected from the profiles of 620 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 103 | 17% |
| United Kingdom | 22 | 4% |
| Canada | 17 | 3% |
| United States | 12 | 2% |
| Australia | 6 | <1% |
| Hong Kong | 6 | <1% |
| Netherlands | 5 | <1% |
| Ireland | 4 | <1% |
| Brazil | 3 | <1% |
| Other | 21 | 3% |
| Unknown | 421 | 68% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 579 | 93% |
| Scientists | 21 | 3% |
| Practitioners (doctors, other healthcare professionals) | 13 | 2% |
| Science communicators (journalists, bloggers, editors) | 7 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 8% |
| Other | 2 | 5% |
| Student > Ph. D. Student | 2 | 5% |
| Researcher | 2 | 5% |
| Student > Master | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 25 | 66% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 8% |
| Medicine and Dentistry | 3 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Nursing and Health Professions | 2 | 5% |
| Arts and Humanities | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 26 | 68% |
Attention Score in Context
This research output has an Altmetric Attention Score of 357. 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 01 April 2024.
All research outputs
#91,906
of 25,791,949 outputs
Outputs from eClinicalMedicine
#113
of 2,337 outputs
Outputs of similar age
#2,323
of 405,100 outputs
Outputs of similar age from eClinicalMedicine
#6
of 120 outputs
Altmetric has tracked 25,791,949 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 2,337 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 80.4. 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 405,100 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 120 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.