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Screening and functional analysis of differentially expressed genes in EBV-transformed lymphoblasts

Overview of attention for article published in Virology Journal, March 2012
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  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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Title
Screening and functional analysis of differentially expressed genes in EBV-transformed lymphoblasts
Published in
Virology Journal, March 2012
DOI 10.1186/1743-422x-9-77
Pubmed ID
Authors

Yongming Dai, Yunlian Tang, Fei He, Yang Zhang, Ailan Cheng, Runliang Gan, Yimou Wu

Abstract

Epstain-Barr virus (EBV) can transform human B lymphocytes making them immortalized and inducing tumorigenic ability in vitro, but the molecular mechanisms remain unclear. The aim of the present study is to detect and analyze differentially expressed genes in two types of host cells, normal human lymphocytes and coupled EBV-transformed lymphoblasts in vitro using gene chips, and to screen the key regulatory genes of lymphocyte transformation induced by EB virus.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
Poland 1 3%
Germany 1 3%
Unknown 26 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 28%
Researcher 7 24%
Student > Master 3 10%
Student > Bachelor 1 3%
Professor 1 3%
Other 4 14%
Unknown 5 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 38%
Biochemistry, Genetics and Molecular Biology 6 21%
Medicine and Dentistry 5 17%
Immunology and Microbiology 1 3%
Computer Science 1 3%
Other 0 0%
Unknown 5 17%
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 02 April 2012.
All research outputs
#14,143,704
of 22,664,267 outputs
Outputs from Virology Journal
#1,595
of 3,028 outputs
Outputs of similar age
#94,506
of 160,569 outputs
Outputs of similar age from Virology Journal
#15
of 49 outputs
Altmetric has tracked 22,664,267 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,028 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one is in the 42nd percentile – i.e., 42% 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 160,569 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.