↓ Skip to main content

De novo Nanopore read quality improvement using deep learning

Overview of attention for article published in BMC Bioinformatics, November 2019
Altmetric Badge

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 (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
22 tweeters

Readers on

mendeley
14 Mendeley
Title
De novo Nanopore read quality improvement using deep learning
Published in
BMC Bioinformatics, November 2019
DOI 10.1186/s12859-019-3103-z
Pubmed ID
Authors

Nathan LaPierre, Rob Egan, Wei Wang, Zhong Wang

Twitter Demographics

The data shown below were collected from the profiles of 22 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 43%
Student > Master 2 14%
Lecturer > Senior Lecturer 1 7%
Student > Ph. D. Student 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 3 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 36%
Agricultural and Biological Sciences 2 14%
Unspecified 1 7%
Computer Science 1 7%
Chemical Engineering 1 7%
Other 0 0%
Unknown 4 29%

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 15 November 2019.
All research outputs
#2,031,312
of 13,903,017 outputs
Outputs from BMC Bioinformatics
#856
of 5,175 outputs
Outputs of similar age
#51,501
of 234,562 outputs
Outputs of similar age from BMC Bioinformatics
#114
of 439 outputs
Altmetric has tracked 13,903,017 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,175 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 83% 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 234,562 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 77% of its contemporaries.
We're also able to compare this research output to 439 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.