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Significant improvement of miRNA target prediction accuracy in large datasets using meta-strategy based on comprehensive voting and artificial neural networks

Overview of attention for article published in BMC Genomics, February 2019
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Mentioned by

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1 tweeter

Citations

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1 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Significant improvement of miRNA target prediction accuracy in large datasets using meta-strategy based on comprehensive voting and artificial neural networks
Published in
BMC Genomics, February 2019
DOI 10.1186/s12864-019-5528-1
Pubmed ID
Authors

Bi Zhao, Bin Xue

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 %
Student > Bachelor 3 30%
Student > Ph. D. Student 2 20%
Researcher 2 20%
Student > Master 1 10%
Student > Postgraduate 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 40%
Engineering 2 20%
Computer Science 2 20%
Biochemistry, Genetics and Molecular Biology 1 10%
Unknown 1 10%

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 03 April 2019.
All research outputs
#12,038,155
of 13,576,937 outputs
Outputs from BMC Genomics
#6,936
of 7,925 outputs
Outputs of similar age
#217,433
of 255,698 outputs
Outputs of similar age from BMC Genomics
#16
of 21 outputs
Altmetric has tracked 13,576,937 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,925 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% 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 255,698 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.