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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Animal Models for COVID-19: Hamsters, Mouse, Ferret, Mink, Tree Shrew, and Non-human Primates
|
|---|---|
| Published in |
Frontiers in Microbiology, August 2021
|
| DOI | 10.3389/fmicb.2021.626553 |
| Pubmed ID | |
| Authors |
Shuyu Shou, Menghui Liu, Yang Yang, Ning Kang, Yingying Song, Dan Tan, Nannan Liu, Feifei Wang, Jing Liu, Youhua Xie |
X Demographics
The data shown below were collected from the profiles of 15 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 Kingdom | 2 | 13% |
| Curaçao | 1 | 7% |
| Australia | 1 | 7% |
| China | 1 | 7% |
| Portugal | 1 | 7% |
| Spain | 1 | 7% |
| Switzerland | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 73% |
| Scientists | 3 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 19% |
| Student > Bachelor | 12 | 12% |
| Student > Ph. D. Student | 10 | 10% |
| Student > Master | 7 | 7% |
| Other | 4 | 4% |
| Other | 6 | 6% |
| Unknown | 41 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 24% |
| Agricultural and Biological Sciences | 10 | 10% |
| Veterinary Science and Veterinary Medicine | 9 | 9% |
| Immunology and Microbiology | 5 | 5% |
| Medicine and Dentistry | 3 | 3% |
| Other | 6 | 6% |
| Unknown | 42 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 146. 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 13 April 2023.
All research outputs
#290,997
of 25,877,363 outputs
Outputs from Frontiers in Microbiology
#162
of 29,921 outputs
Outputs of similar age
#7,588
of 436,752 outputs
Outputs of similar age from Frontiers in Microbiology
#4
of 1,091 outputs
Altmetric has tracked 25,877,363 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,921 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. 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 436,752 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 98% of its contemporaries.
We're also able to compare this research output to 1,091 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.