| Title |
Heterogeneity in HIV and cellular transcription profiles in cell line models of latent and productive infection: implications for HIV latency
|
|---|---|
| Published in |
Retrovirology, November 2019
|
| DOI | 10.1186/s12977-019-0494-x |
| Pubmed ID | |
| Authors |
Sushama Telwatte, Sara Morón-López, Dvir Aran, Peggy Kim, Christine Hsieh, Sunil Joshi, Mauricio Montano, Warner C. Greene, Atul J. Butte, Joseph K. Wong, Steven A. Yukl |
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 % |
|---|---|---|
| Israel | 1 | 17% |
| United States | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 2 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 20% |
| Student > Bachelor | 9 | 14% |
| Student > Master | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Researcher | 4 | 6% |
| Other | 10 | 15% |
| Unknown | 19 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 26% |
| Immunology and Microbiology | 12 | 18% |
| Medicine and Dentistry | 6 | 9% |
| Agricultural and Biological Sciences | 6 | 9% |
| Unspecified | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 21 | 32% |
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 20 May 2021.
All research outputs
#7,899,719
of 23,942,830 outputs
Outputs from Retrovirology
#422
of 1,129 outputs
Outputs of similar age
#140,687
of 362,882 outputs
Outputs of similar age from Retrovirology
#6
of 20 outputs
Altmetric has tracked 23,942,830 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 1,129 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 51% 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 362,882 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 20 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 70% of its contemporaries.