↓ Skip to main content

CD4+ T Cells and HIV: A Paradoxical Pas de Deux

Overview of attention for article published in Science Translational Medicine, February 2012
Altmetric Badge

Readers on

mendeley
39 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.
Article details
Title
CD4+ T Cells and HIV: A Paradoxical Pas de Deux
Published in
Science Translational Medicine, February 2012
DOI 10.1126/scitranslmed.3003862
Pubmed ID
Authors
Abstract

When it comes to HIV infection, CD4(+) T cells are usually thought of as the cells that are preferentially infected and killed by the virus. In a new study, Soghoian et al. now show that during the early stages of HIV infection, CD4(+) T cells suppress virus replication and delay disease onset. Thus, the robustness of the CD4(+) T cell response during early HIV infection could be used as a marker to determine the speed of disease progression. The new findings also have implications for the design of preventive and therapeutic AIDS vaccines.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 15 38%
Researcher 6 15%
Professor 5 13%
Other 4 10%
Student > Master 4 10%
Other 3 8%
Unknown 2 5%
Readers by discipline
Readers by discipline Count As %
Immunology and Microbiology 12 31%
Agricultural and Biological Sciences 11 28%
Medicine and Dentistry 6 15%
Biochemistry, Genetics and Molecular Biology 5 13%
Engineering 2 5%
Other 2 5%
Unknown 1 3%