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FastProNGS: fast preprocessing of next-generation sequencing reads

Overview of attention for article published in BMC Bioinformatics, June 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
6 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
66 Mendeley
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Title
FastProNGS: fast preprocessing of next-generation sequencing reads
Published in
BMC Bioinformatics, June 2019
DOI 10.1186/s12859-019-2936-9
Pubmed ID
Authors

Xiaoshuang Liu, Zhenhe Yan, Chao Wu, Yang Yang, Xiaomin Li, Guangxin Zhang

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 20%
Researcher 12 18%
Student > Master 5 8%
Student > Bachelor 4 6%
Student > Doctoral Student 4 6%
Other 9 14%
Unknown 19 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 26%
Agricultural and Biological Sciences 12 18%
Computer Science 3 5%
Medicine and Dentistry 3 5%
Engineering 3 5%
Other 7 11%
Unknown 21 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 01 January 2023.
All research outputs
#2,750,471
of 25,081,505 outputs
Outputs from BMC Bioinformatics
#793
of 7,644 outputs
Outputs of similar age
#55,982
of 358,008 outputs
Outputs of similar age from BMC Bioinformatics
#25
of 169 outputs
Altmetric has tracked 25,081,505 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,644 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 89% 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 358,008 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 84% of its contemporaries.
We're also able to compare this research output to 169 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.