↓ Skip to main content

Myocyte enhancer factor (MEF)-2 plays essential roles in T-cell transformation associated with HTLV-1 infection by stabilizing complex between Tax and CREB

Overview of attention for article published in Retrovirology, February 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
25 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.
Title
Myocyte enhancer factor (MEF)-2 plays essential roles in T-cell transformation associated with HTLV-1 infection by stabilizing complex between Tax and CREB
Published in
Retrovirology, February 2015
DOI 10.1186/s12977-015-0140-1
Pubmed ID
Authors

Pooja Jain, Alfonso Lavorgna, Mohit Sehgal, Linlin Gao, Rashida Ginwala, Divya Sagar, Edward W Harhaj, Zafar K Khan

Abstract

The exact molecular mechanisms regarding HTLV-1 Tax-mediated viral gene expression and CD4 T-cell transformation have yet to be fully delineated. Herein, utilizing virus-infected primary CD4+ T cells and the virus-producing cell line, MT-2, we describe the involvement and regulation of Myocyte enhancer factor-2 (specifically MEF-2A) during the course of HTLV-1 infection and associated disease syndrome.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 20%
Researcher 4 16%
Student > Master 3 12%
Student > Doctoral Student 2 8%
Professor 1 4%
Other 2 8%
Unknown 8 32%
Readers by discipline Count As %
Medicine and Dentistry 6 24%
Immunology and Microbiology 4 16%
Agricultural and Biological Sciences 2 8%
Neuroscience 2 8%
Biochemistry, Genetics and Molecular Biology 2 8%
Other 1 4%
Unknown 8 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 March 2015.
All research outputs
#14,804,483
of 22,793,427 outputs
Outputs from Retrovirology
#736
of 1,106 outputs
Outputs of similar age
#142,878
of 255,577 outputs
Outputs of similar age from Retrovirology
#12
of 16 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,106 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 29th percentile – i.e., 29% 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 255,577 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.