Title |
Analysis of the Spectrum of ACE2 Variation Suggests a Possible Influence of Rare and Common Variants on Susceptibility to COVID-19 and Severity of Outcome
|
---|---|
Published in |
Frontiers in Genetics, September 2020
|
DOI | 10.3389/fgene.2020.551220 |
Pubmed ID | |
Authors |
Anton E. Shikov, Yury A. Barbitoff, Andrey S. Glotov, Maria M. Danilova, Ziravard N. Tonyan, Yulia A. Nasykhova, Anastasia A. Mikhailova, Olesya N. Bespalova, Roman S. Kalinin, Azizahon M. Mirzorustamova, Igor Yu Kogan, Vladislav S. Baranov, Alexander N. Chernov, Dragana M. Pavlovich, Sergey V. Azarenko, Mikhail A. Fedyakov, Victoria V. Tsay, Yuri A. Eismont, Olga V. Romanova, Dmitry N. Hobotnikov, Dmitry A. Vologzhanin, Sergei V. Mosenko, Tatiana A. Ponomareva, Yana A. Talts, Anna U. Anisenkova, Dmitrii G. Lisovets, Andrey M. Sarana, Stanislav P. Urazov, Sergey G. Scherbak, Oleg S. Glotov |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 17% |
United Kingdom | 1 | 17% |
Unknown | 4 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 61 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 15% |
Student > Bachelor | 8 | 13% |
Student > Master | 7 | 11% |
Other | 5 | 8% |
Student > Ph. D. Student | 5 | 8% |
Other | 5 | 8% |
Unknown | 22 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 14 | 23% |
Medicine and Dentistry | 12 | 20% |
Nursing and Health Professions | 3 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
Environmental Science | 2 | 3% |
Other | 6 | 10% |
Unknown | 22 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 22 July 2023.
All research outputs
#8,024,049
of 24,124,090 outputs
Outputs from Frontiers in Genetics
#2,633
of 12,945 outputs
Outputs of similar age
#168,697
of 415,438 outputs
Outputs of similar age from Frontiers in Genetics
#106
of 462 outputs
Altmetric has tracked 24,124,090 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,945 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 79% 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 415,438 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 55% of its contemporaries.
We're also able to compare this research output to 462 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.