You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Direct non-productive HIV-1 infection in a T-cell line is driven by cellular activation state and NFκB
|
|---|---|
| Published in |
Retrovirology, February 2014
|
| DOI | 10.1186/1742-4690-11-17 |
| Pubmed ID | |
| Authors |
Matthew S Dahabieh, Marcel Ooms, Chanson Brumme, Jeremy Taylor, P Richard Harrigan, Viviana Simon, Ivan Sadowski |
| Abstract |
Molecular latency allows HIV-1 to persist in resting memory CD4+ T-cells as transcriptionally silent provirus integrated into host chromosomal DNA. Multiple transcriptional regulatory mechanisms for HIV-1 latency have been described in the context of progressive epigenetic silencing and maintenance. However, our understanding of the determinants critical for the establishment of latency in newly infected cells is limited. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 17% |
| Netherlands | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 1 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Unknown | 47 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 17% |
| Researcher | 8 | 17% |
| Student > Bachelor | 7 | 15% |
| Student > Master | 6 | 13% |
| Student > Postgraduate | 4 | 8% |
| Other | 5 | 10% |
| Unknown | 10 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 27% |
| Biochemistry, Genetics and Molecular Biology | 9 | 19% |
| Medicine and Dentistry | 7 | 15% |
| Immunology and Microbiology | 6 | 13% |
| Chemistry | 2 | 4% |
| Other | 1 | 2% |
| Unknown | 10 | 21% |
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 21 February 2014.
All research outputs
#12,893,599
of 22,743,667 outputs
Outputs from Retrovirology
#571
of 1,105 outputs
Outputs of similar age
#155,313
of 307,209 outputs
Outputs of similar age from Retrovirology
#15
of 33 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,105 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 47th percentile – i.e., 47% 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 307,209 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 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 51% of its contemporaries.