| Title |
Evidence for biphasic uncoating during HIV-1 infection from a novel imaging assay
|
|---|---|
| Published in |
Retrovirology, July 2013
|
| DOI | 10.1186/1742-4690-10-70 |
| Pubmed ID | |
| Authors |
Hongzhan Xu, Tamera Franks, Gregory Gibson, Kelly Huber, Nadia Rahm, Caterina Strambio De Castillia, Jeremy Luban, Christopher Aiken, Simon Watkins, Nicolas Sluis-Cremer, Zandrea Ambrose |
| Abstract |
Uncoating of the HIV-1 core plays a critical role during early post-fusion stages of infection but is poorly understood. Microscopy-based assays are unable to easily distinguish between intact and partially uncoated viral cores. |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Italy | 1 | 1% |
| Unknown | 81 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 33% |
| Researcher | 12 | 14% |
| Student > Master | 8 | 10% |
| Professor | 8 | 10% |
| Student > Doctoral Student | 7 | 8% |
| Other | 10 | 12% |
| Unknown | 11 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 39% |
| Biochemistry, Genetics and Molecular Biology | 17 | 20% |
| Immunology and Microbiology | 10 | 12% |
| Medicine and Dentistry | 4 | 5% |
| Chemistry | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 12 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 09 July 2013.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from Retrovirology
#1,025
of 1,273 outputs
Outputs of similar age
#150,417
of 206,469 outputs
Outputs of similar age from Retrovirology
#20
of 27 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 206,469 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.