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Long Non Coding RNA Biology

Overview of attention for book
Attention for Chapter 8: Long Noncoding RNAs in Pluripotency of Stem Cells and Cell Fate Specification
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

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39 Dimensions

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18 Mendeley
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Chapter title
Long Noncoding RNAs in Pluripotency of Stem Cells and Cell Fate Specification
Chapter number 8
Book title
Long Non Coding RNA Biology
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-981-10-5203-3_8
Pubmed ID
Book ISBNs
978-9-81-105202-6, 978-9-81-105203-3
Authors

Debosree Pal, M. R. S. Rao

Abstract

Since the annotation of the mouse genome (FANTOM project) [Kawai J et al (2001) Functional annotation of a full-length mouse cDNA collection. Nature 409(6821):685-690] or the human genome [An integrated encyclopedia of DNA elements in the human genome. (2012) Nature 489(7414):57-74; Harrow J et al (2012) GENCODE: the reference human genome annotation for the ENCODE project. Genome Res 22(9):1760-1774], the roles of long noncoding RNAs in coordinating specific signaling pathways have been established in a wide variety of model systems. They have emerged as crucial and key regulators of stem cell maintenance and/or their differentiation into different lineages. In this chapter we have discussed the recently discovered lncRNAs that have been shown to be necessary for the maintenance of pluripotency of both mouse and human ES cells. We have also highlighted the different lncRNAs which are involved in directed differentiation of stem cells into any of the three germ layers. In recent years stem cell therapies including bone marrow transplantation are becoming an integral part of modern medicinal practices. However, there are still several challenges in making stem cell therapy more reproducible so that the success rate reaches a high percentage in the clinic. It is hoped that understanding the molecular mechanisms pertaining to the role of these newly discovered lncRNAs in the differentiation process of stem cells to specific lineages should pave the way to make stem cell therapy and regenerative medicine as a normal clinical practice in the near future.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 44%
Student > Bachelor 2 11%
Student > Doctoral Student 1 6%
Other 1 6%
Professor 1 6%
Other 3 17%
Unknown 2 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 56%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Immunology and Microbiology 1 6%
Psychology 1 6%
Neuroscience 1 6%
Other 1 6%
Unknown 3 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 18 August 2017.
All research outputs
#3,773,987
of 22,997,544 outputs
Outputs from Advances in experimental medicine and biology
#620
of 4,960 outputs
Outputs of similar age
#75,388
of 421,196 outputs
Outputs of similar age from Advances in experimental medicine and biology
#53
of 490 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,960 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 87% 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 421,196 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 81% of its contemporaries.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.