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PredCRG: A computational method for recognition of plant circadian genes by employing support vector machine with Laplace kernel

Overview of attention for article published in Plant Methods, April 2021
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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5 Dimensions

Readers on

mendeley
12 Mendeley
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Title
PredCRG: A computational method for recognition of plant circadian genes by employing support vector machine with Laplace kernel
Published in
Plant Methods, April 2021
DOI 10.1186/s13007-021-00744-3
Pubmed ID
Authors

Prabina Kumar Meher, Ansuman Mohapatra, Subhrajit Satpathy, Anuj Sharma, Isha Saini, Sukanta Kumar Pradhan, Anil Rai

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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 8%
Student > Bachelor 1 8%
Professor 1 8%
Student > Master 1 8%
Researcher 1 8%
Other 1 8%
Unknown 6 50%
Readers by discipline Count As %
Computer Science 2 17%
Agricultural and Biological Sciences 2 17%
Engineering 2 17%
Unknown 6 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 June 2021.
All research outputs
#14,554,120
of 23,308,124 outputs
Outputs from Plant Methods
#727
of 1,104 outputs
Outputs of similar age
#227,762
of 436,647 outputs
Outputs of similar age from Plant Methods
#17
of 30 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,104 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 30th percentile – i.e., 30% 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 436,647 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.