↓ Skip to main content

Small nucleolar RNA signatures of lung tumor-initiating cells

Overview of attention for article published in Molecular Cancer, May 2014
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
91 Dimensions

Readers on

mendeley
64 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Small nucleolar RNA signatures of lung tumor-initiating cells
Published in
Molecular Cancer, May 2014
DOI 10.1186/1476-4598-13-104
Pubmed ID
Authors

Kaiissar Mannoor, Jun Shen, Jipei Liao, Zhenqiu Liu, Feng Jiang

Abstract

Non-small cell lung cancer (NSCLC) is the number one cancer killer. Tumor-initiating cells (TICs) are responsible for tumor progression and recurrence. Emerging evidences suggest that small nucleolar RNAs (snoRNAs) play malfunctioning roles in lung tumorigenesis. This study aims to determine if snoRNAs have important function in lung TICs by: 1) profiling and comparing snoRNA expression patterns in lung ALDH1+/- cells of 28 primary NSCLC tissues to identify new signatures of TICs; 2) determining prognostic significance of the snoRNA signatures by analyzing the expression in 82 NSCLC tissues with different stages and histological types using quantitative PCR; 3) functionally investigating if the snoRNAs contribute to stemness of lung TICs using in vitro and in vivo assays.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 20%
Student > Master 10 16%
Researcher 9 14%
Student > Bachelor 7 11%
Student > Postgraduate 4 6%
Other 6 9%
Unknown 15 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 34%
Agricultural and Biological Sciences 13 20%
Medicine and Dentistry 6 9%
Immunology and Microbiology 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 2 3%
Unknown 19 30%
Attention Score in Context

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 06 May 2014.
All research outputs
#17,720,553
of 22,755,127 outputs
Outputs from Molecular Cancer
#1,200
of 1,717 outputs
Outputs of similar age
#156,531
of 227,400 outputs
Outputs of similar age from Molecular Cancer
#37
of 48 outputs
Altmetric has tracked 22,755,127 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,717 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 25th percentile – i.e., 25% 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 227,400 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.