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Variable selection from a feature representing protein sequences: a case of classification on bacterial type IV secreted effectors

Overview of attention for article published in BMC Bioinformatics, October 2020
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Mentioned by

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3 X users

Citations

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3 Dimensions

Readers on

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4 Mendeley
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Title
Variable selection from a feature representing protein sequences: a case of classification on bacterial type IV secreted effectors
Published in
BMC Bioinformatics, October 2020
DOI 10.1186/s12859-020-03826-6
Pubmed ID
Authors

Jian Zhang, Lixin Lv, Donglei Lu, Denan Kong, Mohammed Abdoh Ali Al-Alashaari, Xudong Zhao

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 25%
Student > Doctoral Student 1 25%
Unknown 2 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 25%
Computer Science 1 25%
Unknown 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 29 October 2020.
All research outputs
#18,097,821
of 23,257,423 outputs
Outputs from BMC Bioinformatics
#6,020
of 7,362 outputs
Outputs of similar age
#297,960
of 420,254 outputs
Outputs of similar age from BMC Bioinformatics
#165
of 187 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,362 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 420,254 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 187 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.