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Identification of the long non-coding RNA POU3F3 in plasma as a novel biomarker for diagnosis of esophageal squamous cell carcinoma

Overview of attention for article published in Molecular Cancer, January 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users
facebook
1 Facebook page

Citations

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293 Dimensions

Readers on

mendeley
83 Mendeley
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Title
Identification of the long non-coding RNA POU3F3 in plasma as a novel biomarker for diagnosis of esophageal squamous cell carcinoma
Published in
Molecular Cancer, January 2015
DOI 10.1186/1476-4598-14-3
Pubmed ID
Authors

Yu-Suo Tong, Xiao-Wei Wang, Xi-Lei Zhou, Zi-Hao Liu, Tong-Xin Yang, Wei-Hong Shi, Hai-Wei Xie, Jin Lv, Qing-Quan Wu, Xiu-Feng Cao

Abstract

Recent studies have demonstrated that long non-coding RNAs (lncRNAs) were present in the blood of cancer patients and have shown great potential as powerful and non-invasive tumor markers. However, little is known about the value of lncRNAs in the diagnosis of esophageal squamous cell carcinoma (ESCC). We hypothesized that ESCC-related lncRNAs might be released into the circulation during tumor initiation and could be utilized to detect and monitor ESCC.

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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 18%
Student > Master 13 16%
Researcher 11 13%
Student > Bachelor 9 11%
Student > Doctoral Student 8 10%
Other 14 17%
Unknown 13 16%
Readers by discipline Count As %
Medicine and Dentistry 22 27%
Biochemistry, Genetics and Molecular Biology 21 25%
Agricultural and Biological Sciences 16 19%
Chemistry 2 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Other 5 6%
Unknown 16 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 January 2015.
All research outputs
#3,415,054
of 25,373,627 outputs
Outputs from Molecular Cancer
#271
of 1,918 outputs
Outputs of similar age
#46,282
of 359,545 outputs
Outputs of similar age from Molecular Cancer
#7
of 51 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,918 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 85% 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 359,545 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.