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Genetic and bioinformatic analyses of the expression and function of PI3K regulatory subunit PIK3R3 in an Asian patient gastric cancer library

Overview of attention for article published in BMC Medical Genomics, August 2012
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

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23 Dimensions

Readers on

mendeley
25 Mendeley
citeulike
1 CiteULike
Title
Genetic and bioinformatic analyses of the expression and function of PI3K regulatory subunit PIK3R3 in an Asian patient gastric cancer library
Published in
BMC Medical Genomics, August 2012
DOI 10.1186/1755-8794-5-34
Pubmed ID
Authors

Jin Zhou, Geng Bo Chen, Yew Chung Tang, Rohit Anthony Sinha, Yonghui Wu, Chui Sun Yap, Guihua Wang, Junbo Hu, Xianmin Xia, Patrick Tan, Liang Kee Goh, Paul Michael Yen, Zhou J, Chen GB, Tang YC, Wu Y, Yap CS, Wang G, Hu J, Xia X, Tan P, Goh LK, Yen PM, Anthonysinha R

Abstract

While there is strong evidence for phosphatidylinositol 3-kinase (PI3K) involvement in cancer development, there is limited information about the role of PI3K regulatory subunits. PIK3R3, the gene that encodes the PI3K regulatory subunit p55γ, is over-expressed in glioblastoma and ovarian cancers, but its expression in gastric cancer (GC) is not known. We thus used genetic and bioinformatic approaches to examine PIK3R3 expression and function in GC, the second leading cause of cancer mortality world-wide and highly prevalent among Asians.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 28%
Researcher 7 28%
Student > Master 3 12%
Student > Postgraduate 2 8%
Student > Doctoral Student 2 8%
Other 3 12%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 44%
Medicine and Dentistry 5 20%
Biochemistry, Genetics and Molecular Biology 3 12%
Unspecified 1 4%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 3 12%

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 10 August 2012.
All research outputs
#1,995,009
of 4,506,762 outputs
Outputs from BMC Medical Genomics
#145
of 310 outputs
Outputs of similar age
#29,224
of 76,521 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 11 outputs
Altmetric has tracked 4,506,762 research outputs across all sources so far. This one has received more attention than most of these and is in the 53rd percentile.
So far Altmetric has tracked 310 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 50% 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 76,521 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 59% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.