↓ Skip to main content

Concise Review: Harmonies Played by MicroRNAs in Cell Fate Reprogramming

Overview of attention for article published in Stem Cells, January 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
70 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Concise Review: Harmonies Played by MicroRNAs in Cell Fate Reprogramming
Published in
Stem Cells, January 2014
DOI 10.1002/stem.1576
Pubmed ID
Authors

Sharif Moradi, Sassan Asgari, Hossein Baharvand

Abstract

It is now well-established that somatic cells can be reprogrammed to alternative cell fates by ectopic coexpression of defined factors. Reprogramming technology has uncovered a huge plasticity besides gene regulatory networks (GRNs) of differentiated cell states. MicroRNAs (miRNAs), which are an integral part of GRNs, have recently emerged as a powerful reprogramming toolbox. They regulate numerous genes, thereby modulating virtually all cellular processes, including somatic cell reprogramming. Not only can miRNAs provide novel opportunities for interrogating mechanisms of induced pluripotency and direct lineage reprogramming but they also offer hope for the efficient creation of safe cell sources for regenerative medicine. In reviewing landmark roles of miRNAs in cell reprogramming, we offer suggestions for evolution of the reprogramming field.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Iran, Islamic Republic of 1 1%
United Kingdom 1 1%
Germany 1 1%
Unknown 65 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 21%
Researcher 14 20%
Student > Master 10 14%
Student > Bachelor 5 7%
Professor > Associate Professor 4 6%
Other 10 14%
Unknown 12 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 37%
Biochemistry, Genetics and Molecular Biology 13 19%
Medicine and Dentistry 8 11%
Neuroscience 4 6%
Immunology and Microbiology 2 3%
Other 4 6%
Unknown 13 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 October 2013.
All research outputs
#18,351,676
of 22,727,570 outputs
Outputs from Stem Cells
#3,578
of 3,897 outputs
Outputs of similar age
#228,760
of 304,480 outputs
Outputs of similar age from Stem Cells
#54
of 72 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,897 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 2nd percentile – i.e., 2% 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 304,480 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.