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miR-206 integrates multiple components of differentiation pathways to control the transition from growth to differentiation in rhabdomyosarcoma cells

Overview of attention for article published in Skeletal Muscle, April 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

patent
1 patent
facebook
1 Facebook page

Citations

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38 Dimensions

Readers on

mendeley
45 Mendeley
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Title
miR-206 integrates multiple components of differentiation pathways to control the transition from growth to differentiation in rhabdomyosarcoma cells
Published in
Skeletal Muscle, April 2012
DOI 10.1186/2044-5040-2-7
Pubmed ID
Authors

Kyle L MacQuarrie, Zizhen Yao, Janet M Young, Yi Cao, Stephen J Tapscott

Abstract

Similar to replicating myoblasts, many rhabdomyosarcoma cells express the myogenic determination gene MyoD. In contrast to myoblasts, rhabdomyosarcoma cells do not make the transition from a regulative growth phase to terminal differentiation. Previously we demonstrated that the forced expression of MyoD with its E-protein dimerization partner was sufficient to induce differentiation and suppress multiple growth-promoting genes, suggesting that the dimer was targeting a switch that regulated the transition from growth to differentiation. Our data also suggested that a balance between various inhibitory transcription factors and MyoD activity kept rhabdomyosarcomas trapped in a proliferative state.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Spain 1 2%
Portugal 1 2%
Brazil 1 2%
Unknown 40 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Bachelor 5 11%
Student > Ph. D. Student 5 11%
Student > Master 5 11%
Student > Doctoral Student 4 9%
Other 10 22%
Unknown 7 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 47%
Biochemistry, Genetics and Molecular Biology 9 20%
Medicine and Dentistry 3 7%
Physics and Astronomy 1 2%
Neuroscience 1 2%
Other 0 0%
Unknown 10 22%
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 13 April 2023.
All research outputs
#7,578,594
of 23,760,369 outputs
Outputs from Skeletal Muscle
#231
of 370 outputs
Outputs of similar age
#53,086
of 165,285 outputs
Outputs of similar age from Skeletal Muscle
#3
of 5 outputs
Altmetric has tracked 23,760,369 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 370 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 37th percentile – i.e., 37% 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 165,285 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 66% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.