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A reverse Gaussian correlation inequality by adding cones

Overview of attention for article published in Statistics & Probability Letters, April 2017
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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1 policy source

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2 Mendeley
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Article details
Title
A reverse Gaussian correlation inequality by adding cones
Published in
Statistics & Probability Letters, April 2017
DOI 10.1016/j.spl.2016.11.031
Pubmed ID
Authors
Abstract

Objective: To investigate the expression of long non-coding RNA (lncRNA) SNHG8 in EB virus related gastric cancer and their correlation prognosis. Methods: The expression of SNHG8 in 93 gastric cancers and 93 cancer-free controls, matched by age and sex, were determined by real-time PCR. EB virus expression was detected by EBER in situ hybridization. Results: Forty-one gastric cancers were EB virus associated. For all gastric cancers, SNHG8 expression was 14 times higher (P=0.001) than that in non-cancer controls; in the EB virus related gastric cancers, SNHG8 expression was increased 25 times (P<0.05) over EB virus negative gastric cancers. SNHG8 expression level was also significantly associated with TNM staging (P<0.05). Conclusions: SNHG8 may act as a proto-oncogene, participating in gastric carcinogenesis.EB virus infection of gastric mucosa may promote SNHG8 expression.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 2 100%
Readers by discipline
Readers by discipline Count As %
Mathematics 1 50%
Economics, Econometrics and Finance 1 50%
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 03 October 2017.
All research outputs
#9,515,628
of 27,781,301 outputs
Outputs from Statistics & Probability Letters
#74
of 613 outputs
Outputs of similar age
#131,124
of 329,855 outputs
Outputs of similar age from Statistics & Probability Letters
#3
of 11 outputs
Altmetric has tracked 27,781,301 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 613 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 66% 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 329,855 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 50% 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 has gotten more attention than average, scoring higher than 54% of its contemporaries.