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The small vesicular culprits: the investigation of extracellular vesicles as new targets for cancer treatment

Overview of attention for article published in Clinical and Translational Medicine, December 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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8 X users

Citations

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33 Dimensions

Readers on

mendeley
63 Mendeley
Title
The small vesicular culprits: the investigation of extracellular vesicles as new targets for cancer treatment
Published in
Clinical and Translational Medicine, December 2017
DOI 10.1186/s40169-017-0176-z
Pubmed ID
Authors

Fumihiko Urabe, Nobuyoshi Kosaka, Yusuke Yoshioka, Shin Egawa, Takahiro Ochiya

Abstract

Extracellular vesicles (EVs) are membranous vesicles released from almost all type of cells including cancer cells. EVs transfer their components, such as microRNAs (miRNAs), messenger RNAs, lipids and proteins, from one cell to another, affecting the target cells. Emerging evidence suggests that reciprocal interactions between cancer cells and the cells in their microenvironment via EVs drive disease progression and therapy resistance. Therefore, understanding the roles of EVs in cancer biology will provide us with new opportunities to treat patients. EVs are also useful for monitoring disease processes. EVs have been found in many kinds of biological fluids such as blood, urine, saliva and semen. Because of their accessibility, EVs offer ease of collection with minimal discomfort to patients and are preferred for serial collection. In addition, they reflect and carry dynamic changes in disease, allowing us to access crucial molecular information about the disease status. Therefore, EVs hold great possibility as clinically useful biomarkers to provide multiple non-invasive snapshots of primary and metastatic tumors. In this review, we summarize current knowledge of miRNAs in EVs in cancer biology and as biomarkers. Furthermore, we discuss the potential of miRNAs in EVs for clinical application.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 22%
Researcher 12 19%
Student > Bachelor 8 13%
Student > Master 4 6%
Student > Doctoral Student 3 5%
Other 7 11%
Unknown 15 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 25%
Medicine and Dentistry 10 16%
Agricultural and Biological Sciences 5 8%
Veterinary Science and Veterinary Medicine 3 5%
Immunology and Microbiology 3 5%
Other 8 13%
Unknown 18 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 January 2018.
All research outputs
#7,780,614
of 25,382,440 outputs
Outputs from Clinical and Translational Medicine
#304
of 1,060 outputs
Outputs of similar age
#140,966
of 443,420 outputs
Outputs of similar age from Clinical and Translational Medicine
#6
of 9 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has gotten more attention than average, scoring higher than 71% 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 443,420 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 67% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.