↓ Skip to main content

Uncovering the roles of long non-coding RNAs in cancer stem cells

Overview of attention for article published in Journal of Hematology & Oncology, February 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
58 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
Uncovering the roles of long non-coding RNAs in cancer stem cells
Published in
Journal of Hematology & Oncology, February 2017
DOI 10.1186/s13045-017-0428-9
Pubmed ID
Authors

Xiaoxing Huang, Ruijing Xiao, Shan Pan, Xiangyong Yang, Wen Yuan, Zhenbo Tu, Ming Xu, Yufan Zhu, Qian Yin, Yingjie Wu, Weidong Hu, Liang Shao, Jie Xiong, Qiuping Zhang

Abstract

Cancer has been a major public health problem that has threatened human life worldwide throughout history. The main causes that contribute to the poor prognosis of cancer are metastasis and recurrence. Cancer stem cells are a group of tumor cells that possess self-renewal and differentiation ability, which is a vital cause of cancer metastasis and recurrence. Long non-coding RNAs refer to a class of RNAs that are longer than 200 nt and have no potential to code proteins, some of which can be specifically expressed in different tissues and different tumors. Long non-coding RNAs have great biological significance in the occurrence and progression of cancers. However, how long non-coding RNAs interact with cancer stem cells and then affect cancer metastasis and recurrence is not yet clear. Therefore, this review aims to summarize recent studies that focus on how long non-coding RNAs impact tumor occurrence and progression by affecting cancer stem cell self-renewal and differentiation in liver cancer, prostate cancer, breast cancer, and glioma.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 21%
Student > Bachelor 9 16%
Researcher 9 16%
Student > Ph. D. Student 6 10%
Student > Postgraduate 3 5%
Other 5 9%
Unknown 14 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 33%
Medicine and Dentistry 10 17%
Engineering 3 5%
Immunology and Microbiology 3 5%
Agricultural and Biological Sciences 2 3%
Other 5 9%
Unknown 16 28%
Attention Score in Context

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 01 January 2018.
All research outputs
#14,927,127
of 22,959,818 outputs
Outputs from Journal of Hematology & Oncology
#728
of 1,194 outputs
Outputs of similar age
#187,156
of 310,858 outputs
Outputs of similar age from Journal of Hematology & Oncology
#20
of 40 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,194 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one is in the 34th percentile – i.e., 34% 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 310,858 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 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.