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PredT4SE-Stack: Prediction of Bacterial Type IV Secreted Effectors From Protein Sequences Using a Stacked Ensemble Method

Overview of attention for article published in Frontiers in Microbiology, October 2018
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Mentioned by

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1 X user

Citations

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105 Dimensions

Readers on

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35 Mendeley
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Title
PredT4SE-Stack: Prediction of Bacterial Type IV Secreted Effectors From Protein Sequences Using a Stacked Ensemble Method
Published in
Frontiers in Microbiology, October 2018
DOI 10.3389/fmicb.2018.02571
Pubmed ID
Authors

Yi Xiong, Qiankun Wang, Junchen Yang, Xiaolei Zhu, Dong-Qing Wei

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 14%
Student > Ph. D. Student 4 11%
Researcher 2 6%
Other 2 6%
Professor > Associate Professor 2 6%
Other 7 20%
Unknown 13 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 14%
Computer Science 5 14%
Agricultural and Biological Sciences 4 11%
Engineering 2 6%
Unspecified 1 3%
Other 5 14%
Unknown 13 37%
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 12 October 2018.
All research outputs
#18,651,503
of 23,106,390 outputs
Outputs from Frontiers in Microbiology
#19,685
of 25,291 outputs
Outputs of similar age
#267,807
of 349,821 outputs
Outputs of similar age from Frontiers in Microbiology
#512
of 690 outputs
Altmetric has tracked 23,106,390 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,291 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 9th percentile – i.e., 9% 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 349,821 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 690 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.