↓ Skip to main content

In vitro nuclear interactome of the HIV-1 Tat protein

Overview of attention for article published in Retrovirology, May 2009
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

2 patents
3 Wikipedia pages


74 Dimensions

Readers on

103 Mendeley
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.
In vitro nuclear interactome of the HIV-1 Tat protein
Published in
Retrovirology, May 2009
DOI 10.1186/1742-4690-6-47
Pubmed ID

Virginie W Gautier, Lili Gu, Niaobh O'Donoghue, Stephen Pennington, Noreen Sheehy, William W Hall


One facet of the complexity underlying the biology of HIV-1 resides not only in its limited number of viral proteins, but in the extensive repertoire of cellular proteins they interact with and their higher-order assembly. HIV-1 encodes the regulatory protein Tat (86-101aa), which is essential for HIV-1 replication and primarily orchestrates HIV-1 provirus transcriptional regulation. Previous studies have demonstrated that Tat function is highly dependent on specific interactions with a range of cellular proteins. However they can only partially account for the intricate molecular mechanisms underlying the dynamics of proviral gene expression. To obtain a comprehensive nuclear interaction map of Tat in T-cells, we have designed a proteomic strategy based on affinity chromatography coupled with mass spectrometry.

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Canada 2 2%
India 1 <1%
Netherlands 1 <1%
Unknown 96 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 26%
Student > Ph. D. Student 25 24%
Student > Doctoral Student 9 9%
Student > Bachelor 7 7%
Student > Master 7 7%
Other 16 16%
Unknown 12 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 50%
Biochemistry, Genetics and Molecular Biology 20 19%
Immunology and Microbiology 8 8%
Computer Science 3 3%
Medicine and Dentistry 3 3%
Other 3 3%
Unknown 15 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 14 July 2018.
All research outputs
of 12,440,051 outputs
Outputs from Retrovirology
of 683 outputs
Outputs of similar age
of 302,620 outputs
Outputs of similar age from Retrovirology
of 8 outputs
Altmetric has tracked 12,440,051 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 683 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. 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 302,620 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.