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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
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Mentioned by

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3 tweeters

Citations

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5 Dimensions

Readers on

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18 Mendeley
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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.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Student > Master 4 22%
Researcher 2 11%
Student > Doctoral Student 2 11%
Student > Postgraduate 2 11%
Other 3 17%
Readers by discipline Count As %
Medicine and Dentistry 4 22%
Unspecified 3 17%
Biochemistry, Genetics and Molecular Biology 3 17%
Immunology and Microbiology 3 17%
Agricultural and Biological Sciences 2 11%
Other 3 17%

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
#7,502,653
of 12,443,702 outputs
Outputs from Retrovirology
#423
of 683 outputs
Outputs of similar age
#108,031
of 218,290 outputs
Outputs of similar age from Retrovirology
#1
of 1 outputs
Altmetric has tracked 12,443,702 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
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 is in the 33rd percentile – i.e., 33% 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 218,290 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them