The data shown below were collected from the profiles of 79 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
| Title |
Why does COVID-19 disproportionately affect older people?
|
|---|---|
| Published in |
Aging, May 2020
|
| DOI | 10.18632/aging.103344 |
| Pubmed ID | |
| Authors |
Amber L Mueller, Maeve S McNamara, David A Sinclair |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 10% |
| United Kingdom | 5 | 6% |
| Canada | 3 | 4% |
| Mexico | 3 | 4% |
| Australia | 2 | 3% |
| Comoros | 2 | 3% |
| India | 1 | 1% |
| Unknown | 55 | 70% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 66 | 84% |
| Practitioners (doctors, other healthcare professionals) | 7 | 9% |
| Scientists | 5 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 940 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 940 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 133 | 14% |
| Student > Master | 89 | 9% |
| Researcher | 82 | 9% |
| Student > Ph. D. Student | 69 | 7% |
| Student > Postgraduate | 46 | 5% |
| Other | 151 | 16% |
| Unknown | 370 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 170 | 18% |
| Nursing and Health Professions | 67 | 7% |
| Biochemistry, Genetics and Molecular Biology | 62 | 7% |
| Agricultural and Biological Sciences | 35 | 4% |
| Immunology and Microbiology | 35 | 4% |
| Other | 177 | 19% |
| Unknown | 394 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 450. 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 June 2024.
All research outputs
#66,102
of 26,561,175 outputs
Outputs from Aging
#14
of 4,291 outputs
Outputs of similar age
#2,548
of 435,988 outputs
Outputs of similar age from Aging
#1
of 246 outputs
Altmetric has tracked 26,561,175 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 4,291 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. 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 435,988 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 246 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.