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Detection of Epstein-Barr virus (EBV) in human lymphoma tissue by a novel microbial detection array

Overview of attention for article published in Biomarker Research, December 2014
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1 tweeter

Citations

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Title
Detection of Epstein-Barr virus (EBV) in human lymphoma tissue by a novel microbial detection array
Published in
Biomarker Research, December 2014
DOI 10.1186/s40364-014-0024-x
Pubmed ID
Authors

Joseph Tellez, Crystal Jaing, Jun Wang, Ralph Green, Mingyi Chen

Abstract

Infectious agents are estimated to play a causative role in approximately 20% of cancers worldwide. Viruses, notably the Epstein-Barr virus (EBV), are associated with 10-15% of B-cell lymphomas and are found at a higher frequency in immunosuppressed patients. In this study, we screened human lymphoma tissues using a novel Lawrence Livermore Microbial Detection Array (LLMDA), a comprehensive detection system that contains probes for all sequenced viruses and bacteria. This technology has been applied to identify pathogen-associated diseases.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 27%
Researcher 2 18%
Other 2 18%
Student > Doctoral Student 2 18%
Lecturer 1 9%
Other 1 9%
Readers by discipline Count As %
Medicine and Dentistry 2 18%
Biochemistry, Genetics and Molecular Biology 2 18%
Agricultural and Biological Sciences 1 9%
Environmental Science 1 9%
Immunology and Microbiology 1 9%
Other 2 18%
Unknown 2 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 January 2015.
All research outputs
#11,372,765
of 12,786,466 outputs
Outputs from Biomarker Research
#86
of 105 outputs
Outputs of similar age
#224,667
of 275,427 outputs
Outputs of similar age from Biomarker Research
#1
of 3 outputs
Altmetric has tracked 12,786,466 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 105 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 1st percentile – i.e., 1% 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 275,427 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 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