↓ Skip to main content

Prediction of constitutive A-to-I editing sites from human transcriptomes in the absence of genomic sequences

Overview of attention for article published in BMC Genomics, March 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
74 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
Prediction of constitutive A-to-I editing sites from human transcriptomes in the absence of genomic sequences
Published in
BMC Genomics, March 2013
DOI 10.1186/1471-2164-14-206
Pubmed ID
Authors

Shanshan Zhu, Jian-Feng Xiang, Tian Chen, Ling-Ling Chen, Li Yang

Abstract

Adenosine-to-inosine (A-to-I) RNA editing is recognized as a cellular mechanism for generating both RNA and protein diversity. Inosine base pairs with cytidine during reverse transcription and therefore appears as guanosine during sequencing of cDNA. Current approaches of RNA editing identification largely depend on the comparison between transcriptomes and genomic DNA (gDNA) sequencing datasets from the same individuals, and it has been challenging to identify editing candidates from transcriptomes in the absence of gDNA information.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
India 1 1%
Portugal 1 1%
China 1 1%
Unknown 69 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 22%
Researcher 13 18%
Student > Postgraduate 7 9%
Student > Bachelor 7 9%
Student > Master 6 8%
Other 13 18%
Unknown 12 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 51%
Biochemistry, Genetics and Molecular Biology 17 23%
Medicine and Dentistry 2 3%
Mathematics 1 1%
Unspecified 1 1%
Other 2 3%
Unknown 13 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 April 2013.
All research outputs
#13,237,756
of 21,298,857 outputs
Outputs from BMC Genomics
#5,399
of 10,263 outputs
Outputs of similar age
#96,801
of 173,717 outputs
Outputs of similar age from BMC Genomics
#3
of 6 outputs
Altmetric has tracked 21,298,857 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,263 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 47th percentile – i.e., 47% 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 173,717 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.