| Title |
New insights into genetic susceptibility of COVID-19: an ACE2 and TMPRSS2 polymorphism analysis
|
|---|---|
| Published in |
BMC Medicine, July 2020
|
| DOI | 10.1186/s12916-020-01673-z |
| Pubmed ID | |
| Authors |
Yuan Hou, Junfei Zhao, William Martin, Asha Kallianpur, Mina K. Chung, Lara Jehi, Nima Sharifi, Serpil Erzurum, Charis Eng, Feixiong Cheng |
X Demographics
The data shown below were collected from the profiles of 4,266 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 | 1118 | 26% |
| Canada | 97 | 2% |
| United Kingdom | 61 | 1% |
| France | 30 | <1% |
| Australia | 22 | <1% |
| Comoros | 16 | <1% |
| Netherlands | 14 | <1% |
| Spain | 12 | <1% |
| Georgia | 10 | <1% |
| Other | 181 | 4% |
| Unknown | 2705 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4048 | 95% |
| Practitioners (doctors, other healthcare professionals) | 90 | 2% |
| Scientists | 84 | 2% |
| Science communicators (journalists, bloggers, editors) | 42 | <1% |
| Unknown | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 530 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 530 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 80 | 15% |
| Researcher | 63 | 12% |
| Student > Master | 59 | 11% |
| Student > Ph. D. Student | 49 | 9% |
| Student > Doctoral Student | 26 | 5% |
| Other | 92 | 17% |
| Unknown | 161 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 119 | 22% |
| Medicine and Dentistry | 89 | 17% |
| Immunology and Microbiology | 24 | 5% |
| Nursing and Health Professions | 18 | 3% |
| Agricultural and Biological Sciences | 18 | 3% |
| Other | 78 | 15% |
| Unknown | 184 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3229. 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 April 2024.
All research outputs
#1,944
of 25,791,949 outputs
Outputs from BMC Medicine
#2
of 4,094 outputs
Outputs of similar age
#124
of 430,749 outputs
Outputs of similar age from BMC Medicine
#1
of 105 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 4,094 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.8. 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 430,749 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 105 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.