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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Preexisting CD8+ T-cell immunity to the H7N9 influenza A virus varies across ethnicities
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, January 2014
|
| DOI | 10.1073/pnas.1322229111 |
| Pubmed ID | |
| Authors |
Sergio Quiñones-Parra, Emma Grant, Liyen Loh, Thi H. O. Nguyen, Kristy-Anne Campbell, Steven Y. C. Tong, Adrian Miller, Peter C. Doherty, Dhanasekaran Vijaykrishna, Jamie Rossjohn, Stephanie Gras, Katherine Kedzierska |
| Abstract |
The absence of preexisting neutralizing antibodies specific for the novel A (H7N9) influenza virus indicates a lack of prior human exposure. As influenza A virus-specific CD8(+) T lymphocytes (CTLs) can be broadly cross-reactive, we tested whether immunogenic peptides derived from H7N9 might be recognized by memory CTLs established following infection with other influenza strains. Probing across multiple ethnicities, we identified 32 conserved epitopes derived from the nucleoprotein (NP) and matrix-1 (M1) proteins. These NP and M1 peptides are presented by HLAs prevalent in 16-57% of individuals. Remarkably, some HLA alleles (A*0201, A*0301, B*5701, B*1801, and B*0801) elicit robust CTL responses against any human influenza A virus, including H7N9, whereas ethnicities where HLA-A*0101, A*6801, B*1501, and A*2402 are prominent, show limited CTL response profiles. By this criterion, some groups, especially the Alaskan and Australian Indigenous peoples, would be particularly vulnerable to H7N9 infection. This dissection of CTL-mediated immunity to H7N9 thus suggests strategies for both vaccine delivery and development. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 3 | 27% |
| United States | 2 | 18% |
| Hong Kong | 1 | 9% |
| United Kingdom | 1 | 9% |
| Netherlands | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Scientists | 2 | 18% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | <1% |
| Australia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Saudi Arabia | 1 | <1% |
| Singapore | 1 | <1% |
| Unknown | 138 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 32 | 22% |
| Student > Ph. D. Student | 28 | 20% |
| Student > Bachelor | 26 | 18% |
| Student > Master | 13 | 9% |
| Other | 7 | 5% |
| Other | 17 | 12% |
| Unknown | 20 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 55 | 38% |
| Medicine and Dentistry | 17 | 12% |
| Biochemistry, Genetics and Molecular Biology | 15 | 10% |
| Immunology and Microbiology | 15 | 10% |
| Computer Science | 3 | 2% |
| Other | 14 | 10% |
| Unknown | 24 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 53. 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 29 August 2023.
All research outputs
#759,379
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#12,635
of 101,438 outputs
Outputs of similar age
#8,191
of 316,187 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#175
of 974 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has done well, scoring higher than 87% 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 316,187 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 97% of its contemporaries.
We're also able to compare this research output to 974 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.