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Coupled transcriptome and proteome analysis of human lymphotropic tumor viruses: insights on the detection and discovery of viral genes

Overview of attention for article published in BMC Genomics, December 2011
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Mentioned by

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1 tweeter

Citations

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47 Dimensions

Readers on

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38 Mendeley
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1 CiteULike

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Title
Coupled transcriptome and proteome analysis of human lymphotropic tumor viruses: insights on the detection and discovery of viral genes
Published in
BMC Genomics, December 2011
DOI 10.1186/1471-2164-12-625
Pubmed ID
22185355
Authors

Lindsay R Dresang, Jeremy R Teuton, Huichen Feng, Jon M Jacobs, David G Camp, Samuel O Purvine, Marina A Gritsenko, Zhihua Li, Richard D Smith, Bill Sugden, Patrick S Moore, Yuan Chang

Abstract

Kaposi's sarcoma-associated herpesvirus (KSHV) and Epstein-Barr virus (EBV) are related human tumor viruses that cause primary effusion lymphomas (PEL) and Burkitt's lymphomas (BL), respectively. Viral genes expressed in naturally-infected cancer cells contribute to disease pathogenesis; knowing which viral genes are expressed is critical in understanding how these viruses cause cancer. To evaluate the expression of viral genes, we used high-resolution separation and mass spectrometry coupled with custom tiling arrays to align the viral proteomes and transcriptomes of three PEL and two BL cell lines under latent and lytic culture conditions.

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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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 32%
Student > Ph. D. Student 7 18%
Professor > Associate Professor 4 11%
Student > Bachelor 3 8%
Student > Master 2 5%
Other 3 8%
Unknown 7 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 50%
Biochemistry, Genetics and Molecular Biology 3 8%
Immunology and Microbiology 2 5%
Computer Science 2 5%
Engineering 2 5%
Other 3 8%
Unknown 7 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 21 December 2011.
All research outputs
#9,906,305
of 12,373,620 outputs
Outputs from BMC Genomics
#5,684
of 7,313 outputs
Outputs of similar age
#157,374
of 222,106 outputs
Outputs of similar age from BMC Genomics
#443
of 578 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,313 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 12th percentile – i.e., 12% 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 222,106 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 578 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.

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