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PFBNet: a priori-fused boosting method for gene regulatory network inference

Overview of attention for article published in BMC Bioinformatics, July 2020
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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 (77th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
5 tweeters

Readers on

mendeley
10 Mendeley
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Title
PFBNet: a priori-fused boosting method for gene regulatory network inference
Published in
BMC Bioinformatics, July 2020
DOI 10.1186/s12859-020-03639-7
Pubmed ID
Authors

Dandan Che, Shun Guo, Qingshan Jiang, Lifei Chen

Twitter Demographics

The data shown below were collected from the profiles of 5 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Ph. D. Student 2 20%
Student > Master 1 10%
Professor 1 10%
Student > Postgraduate 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 20%
Computer Science 2 20%
Agricultural and Biological Sciences 1 10%
Social Sciences 1 10%
Neuroscience 1 10%
Other 0 0%
Unknown 3 30%

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 21 July 2020.
All research outputs
#2,548,033
of 16,629,244 outputs
Outputs from BMC Bioinformatics
#998
of 5,984 outputs
Outputs of similar age
#66,025
of 291,118 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 17 outputs
Altmetric has tracked 16,629,244 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 5,984 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. 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 291,118 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 17 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.