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Epstein-Barr virus and telomerase: from cell immortalization to therapy

Overview of attention for article published in Infectious Agents and Cancer, February 2014
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Mentioned by

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2 tweeters

Citations

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11 Dimensions

Readers on

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47 Mendeley
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Title
Epstein-Barr virus and telomerase: from cell immortalization to therapy
Published in
Infectious Agents and Cancer, February 2014
DOI 10.1186/1750-9378-9-8
Pubmed ID
Authors

Riccardo Dolcetti, Silvia Giunco, Jessica Dal Col, Andrea Celeghin, Katy Mastorci, Anita De Rossi

Abstract

Overcoming cellular senescence is strictly required for virus-driven tumors, including those associated with Epstein-Barr virus (EBV). This critical step is successfully accomplished by EBV through TERT expression and telomerase activation in infected cells. We herein review the complex interplay between EBV and TERT/telomerase in EBV-driven tumorigenesis. Evidence accumulated so far clearly indicates that elucidation of this issue may offer promising opportunities for the design of innovative treatment modalities for EBV-associated malignancies. Indeed, several therapeutic strategies for telomerase inhibition have been developed and are being investigated in clinical trials. In this respect, our recent finding that TERT inhibition sensitizes EBV+ lymphoma cells to antivirals through activation of EBV lytic replication is particularly promising and provides a rationale for the activation of clinical studies aimed at assessing the effects of combination therapies with TERT inhibitors and antivirals for the treatment of EBV-associated malignancies.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 4%
Switzerland 1 2%
Unknown 44 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 32%
Student > Master 8 17%
Student > Ph. D. Student 7 15%
Professor 4 9%
Researcher 4 9%
Other 5 11%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 36%
Medicine and Dentistry 9 19%
Biochemistry, Genetics and Molecular Biology 7 15%
Immunology and Microbiology 3 6%
Linguistics 2 4%
Other 5 11%
Unknown 4 9%

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 05 November 2014.
All research outputs
#13,610,027
of 21,005,902 outputs
Outputs from Infectious Agents and Cancer
#213
of 461 outputs
Outputs of similar age
#114,392
of 206,462 outputs
Outputs of similar age from Infectious Agents and Cancer
#1
of 1 outputs
Altmetric has tracked 21,005,902 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 461 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. 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 206,462 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% 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