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Strategies for detecting and identifying biological signals amidst the variation commonly found in RNA sequencing data

Overview of attention for article published in BMC Genomics, May 2021
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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 (79th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
3 tweeters

Readers on

mendeley
5 Mendeley
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Title
Strategies for detecting and identifying biological signals amidst the variation commonly found in RNA sequencing data
Published in
BMC Genomics, May 2021
DOI 10.1186/s12864-021-07563-9
Pubmed ID
Authors

Wilfinger, William W., Miller, Robert, Eghbalnia, Hamid R., Mackey, Karol, Chomczynski, Piotr

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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 60%
Unknown 2 40%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 20%
Biochemistry, Genetics and Molecular Biology 1 20%
Agricultural and Biological Sciences 1 20%
Unknown 2 40%

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 05 May 2021.
All research outputs
#2,883,600
of 18,476,586 outputs
Outputs from BMC Genomics
#1,206
of 9,595 outputs
Outputs of similar age
#68,874
of 332,571 outputs
Outputs of similar age from BMC Genomics
#1
of 5 outputs
Altmetric has tracked 18,476,586 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,595 research outputs from this source. They receive a mean Attention Score of 4.5. 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 332,571 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 79% of its contemporaries.
We're also able to compare this research output to 5 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