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Transcriptional patterns, biomarkers and pathways characterizing nasopharyngeal carcinoma of Southern China

Overview of attention for article published in Journal of Translational Medicine, June 2008
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Mentioned by

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6 Wikipedia pages

Citations

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156 Dimensions

Readers on

mendeley
53 Mendeley
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Title
Transcriptional patterns, biomarkers and pathways characterizing nasopharyngeal carcinoma of Southern China
Published in
Journal of Translational Medicine, June 2008
DOI 10.1186/1479-5876-6-32
Pubmed ID
Authors

Weiyi Fang, Xin Li, Qingping Jiang, Zhen Liu, Huiling Yang, Shuang Wang, Siming Xie, Qiuzhen Liu, Tengfei Liu, Jing Huang, Weibing Xie, Zuguo Li, Yingdong Zhao, Ena Wang, Francesco M Marincola, Kaitai Yao

Abstract

The pathogenesis of nasopharyngeal carcinoma (NPC) is a complicated process involving genetic predisposition, Epstein-Bar Virus infection, and genetic alterations. Although some oncogenes and tumor suppressor genes have been previously reported in NPC, a complete understanding of the pathogenesis of NPC in the context of global gene expression, transcriptional pathways and biomarker assessment remains to be elucidated.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 21%
Researcher 9 17%
Student > Bachelor 6 11%
Professor 5 9%
Other 3 6%
Other 9 17%
Unknown 10 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 23%
Medicine and Dentistry 11 21%
Agricultural and Biological Sciences 10 19%
Chemistry 4 8%
Unspecified 1 2%
Other 3 6%
Unknown 12 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 July 2019.
All research outputs
#7,453,827
of 22,787,797 outputs
Outputs from Journal of Translational Medicine
#1,235
of 3,988 outputs
Outputs of similar age
#28,564
of 82,363 outputs
Outputs of similar age from Journal of Translational Medicine
#3
of 9 outputs
Altmetric has tracked 22,787,797 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,988 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 64% 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 82,363 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.