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miRNAs as potential biomarkers in early breast cancer detection following mammography

Overview of attention for article published in Cell & Bioscience, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#48 of 930)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
6 X users
facebook
1 Facebook page

Citations

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18 Dimensions

Readers on

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61 Mendeley
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Title
miRNAs as potential biomarkers in early breast cancer detection following mammography
Published in
Cell & Bioscience, January 2016
DOI 10.1186/s13578-016-0071-0
Pubmed ID
Authors

Sidney W. Fu, Woojin Lee, Caitrin Coffey, Alexa Lean, Xiaoling Wu, Xiaohui Tan, Yan-gao Man, Rachel F. Brem

Abstract

Breast cancer is the most common cancer among American women, except for skin cancers. About 12 % women in the United States will develop invasive breast cancer during their lifetime. Currently one of the most accepted model/theories is that ductal breast cancer (most common type of breast cancer) follows a linear progression: from normal breast epithelial cells to ductal hyperplasia to atypical ductal hyperplasia (ADH) to ductal carcinoma in situ (DCIS), and finally to invasive ductal carcinoma (IDC). Distinguishing pure ADH diagnosis from DCIS and/or IDC on mammography, and even combined with follow-up core needle biopsy (CNB) is still a challenge. Therefore subsequent surgical excision cannot be avoided to make a definitive diagnosis. MicroRNAs (miRNAs) are a highly abundant class of endogenous non-coding RNAs, which contribute to cancer initiation and progression, and are differentially expressed between normal and cancer tissues. They can function as either tumor suppressors or oncogenes. With accumulating evidence of the role of miRNAs in breast cancer progression, including our own studies, we sought to summarize the nature of early breast lesions and the potential use of miRNA molecules as biomarkers in early breast cancer detection. In particular, miRNA biomarkers may potentially serve as a companion tool following mammography screening and CNB. In the long-term, a better understanding of the molecular mechanisms underlying the miRNA signatures associated with breast cancer development could potentially result in the development of novel strategies for disease prevention and therapy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 23%
Researcher 10 16%
Student > Bachelor 9 15%
Student > Ph. D. Student 6 10%
Lecturer 3 5%
Other 11 18%
Unknown 8 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 41%
Agricultural and Biological Sciences 11 18%
Medicine and Dentistry 8 13%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Nursing and Health Professions 1 2%
Other 5 8%
Unknown 8 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 19 October 2018.
All research outputs
#2,678,246
of 22,842,950 outputs
Outputs from Cell & Bioscience
#48
of 930 outputs
Outputs of similar age
#49,362
of 396,750 outputs
Outputs of similar age from Cell & Bioscience
#1
of 24 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 930 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 94% 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 396,750 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 87% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.