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Comprehensive profiling of Epstein-Barr virus-encoded miRNA species associated with specific latency types in tumor cells

Overview of attention for article published in Virology Journal, October 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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5 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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44 Dimensions

Readers on

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58 Mendeley
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Title
Comprehensive profiling of Epstein-Barr virus-encoded miRNA species associated with specific latency types in tumor cells
Published in
Virology Journal, October 2013
DOI 10.1186/1743-422x-10-314
Pubmed ID
Authors

Hong-Jie Yang, Tie-Jun Huang, Chang-Fu Yang, Li-Xia Peng, Ran-Yi Liu, Guang-Da Yang, Qiao-Qiao Chu, Jia-Ling Huang, Na Liu, Hong-Bing Huang, Zhen-Yu Zhu, Chao-Nan Qian, Bi-Jun Huang

Abstract

Epstein-Barr virus (EBV) is an etiological cause of many human lymphocytic and epithelial malignancies. EBV expresses different genes that are associated with three latency types. To date, as many as 44 EBV-encoded miRNA species have been found, but their comprehensive profiles in the three types of latent infection that are associated with various types of tumors are not well documented.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Switzerland 1 2%
Unknown 56 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 26%
Student > Master 9 16%
Researcher 8 14%
Professor > Associate Professor 4 7%
Professor 3 5%
Other 10 17%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 29%
Medicine and Dentistry 9 16%
Biochemistry, Genetics and Molecular Biology 8 14%
Immunology and Microbiology 8 14%
Unspecified 1 2%
Other 3 5%
Unknown 12 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 30 October 2013.
All research outputs
#6,186,055
of 22,727,570 outputs
Outputs from Virology Journal
#634
of 3,035 outputs
Outputs of similar age
#57,043
of 212,193 outputs
Outputs of similar age from Virology Journal
#18
of 73 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one has done well, scoring higher than 79% 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 212,193 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.