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EMT and tumor metastasis

Overview of attention for article published in Clinical and Translational Medicine, February 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

8 tweeters
1 Google+ user
1 Redditor


540 Dimensions

Readers on

587 Mendeley
EMT and tumor metastasis
Published in
Clinical and Translational Medicine, February 2015
DOI 10.1186/s40169-015-0048-3
Pubmed ID

Sarah Heerboth, Genevieve Housman, Meghan Leary, Mckenna Longacre, Shannon Byler, Karolina Lapinska, Amber Willbanks, Sibaji Sarkar


EMT and MET comprise the processes by which cells transit between epithelial and mesenchymal states, and they play integral roles in both normal development and cancer metastasis. This article reviews these processes and the molecular pathways that contribute to them. First, we compare embryogenesis and development with cancer metastasis. We then discuss the signaling pathways and the differential expression and down-regulation of receptors in both tumor cells and stromal cells, which play a role in EMT and metastasis. We further delve into the clinical implications of EMT and MET in several types of tumors, and lastly, we discuss the role of epigenetic events that regulate EMT/MET processes. We hypothesize that reversible epigenetic events regulate both EMT and MET, and thus, also regulate the development of different types of metastatic cancers.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 587 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Portugal 1 <1%
Italy 1 <1%
Ukraine 1 <1%
Romania 1 <1%
Spain 1 <1%
Unknown 580 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 128 22%
Student > Bachelor 124 21%
Student > Master 92 16%
Researcher 56 10%
Student > Doctoral Student 29 5%
Other 70 12%
Unknown 88 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 207 35%
Agricultural and Biological Sciences 120 20%
Medicine and Dentistry 54 9%
Pharmacology, Toxicology and Pharmaceutical Science 24 4%
Engineering 18 3%
Other 62 11%
Unknown 102 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 09 April 2015.
All research outputs
of 22,793,427 outputs
Outputs from Clinical and Translational Medicine
of 848 outputs
Outputs of similar age
of 255,469 outputs
Outputs of similar age from Clinical and Translational Medicine
of 8 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 848 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has done well, scoring higher than 77% 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 255,469 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 73% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.