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Prediction of functional microRNA targets by integrative modeling of microRNA binding and target expression data

Overview of attention for article published in Genome Biology (Online Edition), January 2019
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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 (72nd percentile)

Mentioned by

twitter
10 tweeters

Citations

dimensions_citation
424 Dimensions

Readers on

mendeley
371 Mendeley
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Title
Prediction of functional microRNA targets by integrative modeling of microRNA binding and target expression data
Published in
Genome Biology (Online Edition), January 2019
DOI 10.1186/s13059-019-1629-z
Pubmed ID
Authors

Weijun Liu, Xiaowei Wang

Twitter Demographics

The data shown below were collected from the profiles of 10 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 371 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 371 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 19%
Student > Master 54 15%
Student > Bachelor 53 14%
Researcher 39 11%
Student > Doctoral Student 23 6%
Other 39 11%
Unknown 91 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 122 33%
Agricultural and Biological Sciences 34 9%
Medicine and Dentistry 23 6%
Computer Science 16 4%
Neuroscience 14 4%
Other 56 15%
Unknown 106 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 05 May 2020.
All research outputs
#5,374,818
of 22,104,767 outputs
Outputs from Genome Biology (Online Edition)
#2,759
of 4,036 outputs
Outputs of similar age
#104,025
of 373,021 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 22,104,767 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,036 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.7. This one is in the 31st percentile – i.e., 31% 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 373,021 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 72% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them