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X Demographics
Mendeley readers
Attention Score in Context
| Title |
COVCOG 1: Factors Predicting Physical, Neurological and Cognitive Symptoms in Long COVID in a Community Sample. A First Publication From the COVID and Cognition Study
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, March 2022
|
| DOI | 10.3389/fnagi.2022.804922 |
| Pubmed ID | |
| Authors |
Panyuan Guo, Alvaro Benito Ballesteros, Sabine P. Yeung, Ruby Liu, Arka Saha, Lyn Curtis, Muzaffer Kaser, Mark P. Haggard, Lucy G. Cheke |
X Demographics
The data shown below were collected from the profiles of 87 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 17 | 20% |
| United States | 12 | 14% |
| United Kingdom | 9 | 10% |
| Djibouti | 1 | 1% |
| Spain | 1 | 1% |
| India | 1 | 1% |
| Germany | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 44 | 51% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 71 | 82% |
| Practitioners (doctors, other healthcare professionals) | 6 | 7% |
| Scientists | 6 | 7% |
| Science communicators (journalists, bloggers, editors) | 4 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 126 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 11% |
| Student > Bachelor | 10 | 8% |
| Student > Doctoral Student | 9 | 7% |
| Student > Ph. D. Student | 8 | 6% |
| Student > Master | 8 | 6% |
| Other | 24 | 19% |
| Unknown | 53 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 12% |
| Psychology | 15 | 12% |
| Nursing and Health Professions | 10 | 8% |
| Neuroscience | 9 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 3% |
| Other | 17 | 13% |
| Unknown | 56 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 387. 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 23 February 2024.
All research outputs
#81,714
of 25,974,666 outputs
Outputs from Frontiers in Aging Neuroscience
#22
of 5,606 outputs
Outputs of similar age
#2,670
of 467,212 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#4
of 331 outputs
Altmetric has tracked 25,974,666 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 5,606 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. 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 467,212 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 331 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.