| Title |
COVID-19: Understanding Inter-Individual Variability and Implications for Precision Medicine
|
|---|---|
| Published in |
Mayo Clinic Proceedings, December 2020
|
| DOI | 10.1016/j.mayocp.2020.11.024 |
| Pubmed ID | |
| Authors |
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X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley demographics
The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 196 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 18 | 9% |
| Student > Ph. D. Student | 17 | 9% |
| Student > Master | 17 | 9% |
| Researcher | 17 | 9% |
| Student > Doctoral Student | 9 | 5% |
| Other | 36 | 18% |
| Unknown | 82 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 14% |
| Biochemistry, Genetics and Molecular Biology | 22 | 11% |
| Nursing and Health Professions | 13 | 7% |
| Computer Science | 7 | 4% |
| Engineering | 7 | 4% |
| Other | 28 | 14% |
| Unknown | 92 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 12 December 2022.
All research outputs
#6,296,208
of 29,701,924 outputs
Outputs from Mayo Clinic Proceedings
#2,275
of 6,039 outputs
Outputs of similar age
#138,375
of 542,519 outputs
Outputs of similar age from Mayo Clinic Proceedings
#44
of 93 outputs
Altmetric has tracked 29,701,924 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.3. This one has gotten more attention than average, scoring higher than 61% 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 542,519 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.