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Comprehensive assessment of multiple biases in small RNA sequencing reveals significant differences in the performance of widely used methods

Overview of attention for article published in BMC Genomics, June 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 (78th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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15 X users

Citations

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71 Dimensions

Readers on

mendeley
115 Mendeley
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Title
Comprehensive assessment of multiple biases in small RNA sequencing reveals significant differences in the performance of widely used methods
Published in
BMC Genomics, June 2019
DOI 10.1186/s12864-019-5870-3
Pubmed ID
Authors

Carrie Wright, Anandita Rajpurohit, Emily E. Burke, Courtney Williams, Leonardo Collado-Torres, Martha Kimos, Nicholas J. Brandon, Alan J. Cross, Andrew E. Jaffe, Daniel R. Weinberger, Joo Heon Shin

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 115 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 23%
Student > Ph. D. Student 21 18%
Student > Bachelor 14 12%
Student > Master 8 7%
Student > Doctoral Student 6 5%
Other 15 13%
Unknown 24 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 23%
Agricultural and Biological Sciences 24 21%
Medicine and Dentistry 11 10%
Immunology and Microbiology 4 3%
Unspecified 3 3%
Other 13 11%
Unknown 33 29%
Attention Score in Context

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 27 January 2021.
All research outputs
#3,795,093
of 23,151,189 outputs
Outputs from BMC Genomics
#1,500
of 10,712 outputs
Outputs of similar age
#76,562
of 352,212 outputs
Outputs of similar age from BMC Genomics
#34
of 251 outputs
Altmetric has tracked 23,151,189 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,712 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 85% 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 352,212 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 78% of its contemporaries.
We're also able to compare this research output to 251 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.