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Complex coding of endogenous siRNA, transcriptional silencing and H3K9 methylation on native targets of germline nuclear RNAi in C. elegans

Overview of attention for article published in BMC Genomics, December 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
6 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
68 Mendeley
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Title
Complex coding of endogenous siRNA, transcriptional silencing and H3K9 methylation on native targets of germline nuclear RNAi in C. elegans
Published in
BMC Genomics, December 2014
DOI 10.1186/1471-2164-15-1157
Pubmed ID
Authors

Julie Zhouli Ni, Esteban Chen, Sam Guoping Gu

Abstract

Small RNA-guided transcriptional silencing (nuclear RNAi) is fundamental to genome integrity and epigenetic inheritance. Despite recent progress in identifying the capability and genetic requirements for nuclear RNAi in Caenorhabditis elegans, the natural targets and cellular functions of nuclear RNAi remain elusive.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 67 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 40%
Researcher 16 24%
Student > Master 8 12%
Professor > Associate Professor 3 4%
Student > Bachelor 3 4%
Other 5 7%
Unknown 6 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 51%
Biochemistry, Genetics and Molecular Biology 24 35%
Computer Science 1 1%
Mathematics 1 1%
Unknown 7 10%

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 16 August 2015.
All research outputs
#1,156,221
of 5,487,906 outputs
Outputs from BMC Genomics
#1,056
of 4,857 outputs
Outputs of similar age
#45,240
of 191,876 outputs
Outputs of similar age from BMC Genomics
#60
of 306 outputs
Altmetric has tracked 5,487,906 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,857 research outputs from this source. They receive a mean Attention Score of 3.9. 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 191,876 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 76% of its contemporaries.
We're also able to compare this research output to 306 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.