| Title |
Whole-Genome Characterization of a Novel Human Influenza A(H1N2) Virus Variant, Brazil - Volume 23, Number 1—January 2017 - Emerging Infectious Diseases journal - CDC
|
|---|---|
| Published in |
Emerging Infectious Diseases, January 2017
|
| DOI | 10.3201/eid2301.161122 |
| Pubmed ID | |
| Authors |
Paola Cristina Resende, Priscila Silva Born, Aline Rocha Matos, Fernando Couto Motta, Braulia Costa Caetano, Maria do Carmo Debur, Irina Nastassja Riediger, David Brown, Marilda M. Siqueira |
| Abstract |
We report the characterization of a novel reassortant influenza A(H1N2) virus not previously reported in humans. Recovered from a a pig farm worker in southeast Brazil who had influenza-like illness, this virus is a triple reassortant containing gene segments from subtypes H1N2 (hemagglutinin), H3N2 (neuraminidase), and pandemic H1N1 (remaining genes). |
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 | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 29% |
| Student > Master | 9 | 26% |
| Student > Ph. D. Student | 8 | 24% |
| Student > Bachelor | 2 | 6% |
| Professor > Associate Professor | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 9 | 26% |
| Agricultural and Biological Sciences | 9 | 26% |
| Biochemistry, Genetics and Molecular Biology | 5 | 15% |
| Nursing and Health Professions | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 7 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 14 July 2020.
All research outputs
#3,449,418
of 23,978,283 outputs
Outputs from Emerging Infectious Diseases
#3,298
of 9,336 outputs
Outputs of similar age
#69,834
of 426,187 outputs
Outputs of similar age from Emerging Infectious Diseases
#58
of 133 outputs
Altmetric has tracked 23,978,283 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,336 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.3. This one has gotten more attention than average, scoring higher than 64% 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 426,187 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 83% of its contemporaries.
We're also able to compare this research output to 133 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.