| Title |
Phylogenetic diversity and genotypic complexity of H1N1 subtype swine influenza viruses isolated in Mainland China
|
|---|---|
| Published in |
Virology Journal, November 2012
|
| DOI | 10.1186/1743-422x-9-289 |
| Pubmed ID | |
| Authors |
Yizhi Liu, Jing Wang, Jun Ji, Shuang Chang, Chunyi Xue, Jingyun Ma, Yingzuo Bi, Qingmei Xie |
| Abstract |
After the occurrence of 2009 pandemic H1N1, close attention has been paid to the H1N1 subtype swine influenza viruses (H1N1 SIV) by scientific communities in many countries. A large-scale sequence analysis of the NCBI Influenza Virus Resource Database on H1N1 SIVs submitted primarily by scientists in China during 1992 to 2011 was performed. The aims of this study were to elucidate the genetic and evolutionary characteristics of H1N1 SIVs, to identify and unify the lineages and genetic characteristics of the H1N1 SIVs isolated in mainland China. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 15% |
| Student > Bachelor | 4 | 15% |
| Student > Postgraduate | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Doctoral Student | 2 | 8% |
| Other | 6 | 23% |
| Unknown | 4 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 31% |
| Medicine and Dentistry | 6 | 23% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Immunology and Microbiology | 2 | 8% |
| Business, Management and Accounting | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 4 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 April 2020.
All research outputs
#7,419,815
of 22,687,320 outputs
Outputs from Virology Journal
#896
of 3,030 outputs
Outputs of similar age
#81,960
of 276,871 outputs
Outputs of similar age from Virology Journal
#25
of 93 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,030 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one has gotten more attention than average, scoring higher than 62% 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 276,871 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 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 69% of its contemporaries.