| Title |
Mouse models of COVID-19 recapitulate inflammatory pathways rather than gene expression
|
|---|---|
| Published in |
PLoS Pathogens, September 2022
|
| DOI | 10.1371/journal.ppat.1010867 |
| Pubmed ID | |
| Authors |
Cameron R. Bishop, Troy Dumenil, Daniel J. Rawle, Thuy T. Le, Kexin Yan, Bing Tang, Gunter Hartel, Andreas Suhrbier |
X Demographics
The data shown below were collected from the profiles of 8 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 | 25% |
| Australia | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 3 | 18% |
| Student > Ph. D. Student | 2 | 12% |
| Student > Master | 2 | 12% |
| Professor | 1 | 6% |
| Student > Postgraduate | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 8 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 24% |
| Immunology and Microbiology | 3 | 18% |
| Computer Science | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Unknown | 8 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 09 February 2024.
All research outputs
#7,388,513
of 25,463,724 outputs
Outputs from PLoS Pathogens
#5,504
of 9,482 outputs
Outputs of similar age
#134,862
of 436,496 outputs
Outputs of similar age from PLoS Pathogens
#88
of 149 outputs
Altmetric has tracked 25,463,724 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 9,482 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 436,496 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 68% of its contemporaries.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.