| Title |
Structure of the zinc-finger antiviral protein in complex with RNA reveals a mechanism for selective targeting of CG-rich viral sequences
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, November 2019
|
| DOI | 10.1073/pnas.1913232116 |
| Pubmed ID | |
| Authors |
Jennifer L Meagher, Matthew Takata, Daniel Gonçalves-Carneiro, Sarah C Keane, Antoine Rebendenne, Heley Ong, Victoria K Orr, Margaret R MacDonald, Jeanne A Stuckey, Paul D Bieniasz, Janet L Smith |
X Demographics
The data shown below were collected from the profiles of 42 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 Kingdom | 11 | 26% |
| United States | 8 | 19% |
| France | 3 | 7% |
| Germany | 2 | 5% |
| Australia | 2 | 5% |
| Japan | 1 | 2% |
| Denmark | 1 | 2% |
| Spain | 1 | 2% |
| Canada | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 11 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 52% |
| Scientists | 18 | 43% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 98 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 18% |
| Researcher | 14 | 14% |
| Student > Master | 14 | 14% |
| Student > Doctoral Student | 7 | 7% |
| Student > Bachelor | 7 | 7% |
| Other | 11 | 11% |
| Unknown | 27 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 34 | 35% |
| Immunology and Microbiology | 13 | 13% |
| Agricultural and Biological Sciences | 6 | 6% |
| Chemistry | 4 | 4% |
| Unspecified | 2 | 2% |
| Other | 10 | 10% |
| Unknown | 29 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 68. 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 08 November 2023.
All research outputs
#640,411
of 25,748,735 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#10,839
of 103,659 outputs
Outputs of similar age
#13,890
of 376,283 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#228
of 978 outputs
Altmetric has tracked 25,748,735 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 103,659 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.6. This one has done well, scoring higher than 89% 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 376,283 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 96% of its contemporaries.
We're also able to compare this research output to 978 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.