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RADAR: differential analysis of MeRIP-seq data with a random effect model

Overview of attention for article published in Genome Biology (Online Edition), December 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
37 Mendeley
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Title
RADAR: differential analysis of MeRIP-seq data with a random effect model
Published in
Genome Biology (Online Edition), December 2019
DOI 10.1186/s13059-019-1915-9
Pubmed ID
Authors

Zijie Zhang, Qi Zhan, Mark Eckert, Allen Zhu, Agnieszka Chryplewicz, Dario F. De Jesus, Decheng Ren, Rohit N. Kulkarni, Ernst Lengyel, Chuan He, Mengjie Chen

Twitter Demographics

The data shown below were collected from the profiles of 4 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 32%
Student > Ph. D. Student 6 16%
Student > Bachelor 4 11%
Student > Master 1 3%
Professor > Associate Professor 1 3%
Other 0 0%
Unknown 13 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 30%
Agricultural and Biological Sciences 5 14%
Medicine and Dentistry 3 8%
Neuroscience 2 5%
Nursing and Health Professions 1 3%
Other 2 5%
Unknown 13 35%

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 26 December 2019.
All research outputs
#9,739,948
of 16,505,271 outputs
Outputs from Genome Biology (Online Edition)
#3,082
of 3,474 outputs
Outputs of similar age
#197,923
of 381,944 outputs
Outputs of similar age from Genome Biology (Online Edition)
#280
of 290 outputs
Altmetric has tracked 16,505,271 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,474 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.2. This one is in the 10th percentile – i.e., 10% 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 381,944 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 290 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.