| Title |
Modeling human influenza infection in the laboratory
|
|---|---|
| Published in |
Infection and Drug Resistance, August 2015
|
| DOI | 10.2147/idr.s58551 |
| Pubmed ID | |
| Authors |
Kathryn A Radigan, Alexander V Misharin, Monica Chi, GR Scott Budinger |
| Abstract |
Influenza is the leading cause of death from an infectious cause. Because of its clinical importance, many investigators use animal models to understand the biologic mechanisms of influenza A virus replication, the immune response to the virus, and the efficacy of novel therapies. This review will focus on the biosafety, biosecurity, and ethical concerns that must be considered in pursuing influenza research, in addition to focusing on the two animal models - mice and ferrets - most frequently used by researchers as models of human influenza infection. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Unknown | 103 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 18% |
| Student > Master | 18 | 17% |
| Student > Ph. D. Student | 16 | 15% |
| Student > Bachelor | 14 | 13% |
| Student > Doctoral Student | 7 | 7% |
| Other | 11 | 10% |
| Unknown | 20 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 19% |
| Biochemistry, Genetics and Molecular Biology | 14 | 13% |
| Medicine and Dentistry | 14 | 13% |
| Immunology and Microbiology | 13 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 6% |
| Other | 16 | 15% |
| Unknown | 22 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 27 February 2024.
All research outputs
#2,750,105
of 25,576,275 outputs
Outputs from Infection and Drug Resistance
#108
of 2,052 outputs
Outputs of similar age
#34,035
of 276,796 outputs
Outputs of similar age from Infection and Drug Resistance
#7
of 14 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,052 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 94% 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 276,796 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 14 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 57% of its contemporaries.