↓ Skip to main content

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
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
8 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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
Authors

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

Twitter Demographics

The data shown below were collected from the profiles of 3 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 13%
Student > Bachelor 1 13%
Professor 1 13%
Student > Master 1 13%
Researcher 1 13%
Other 0 0%
Unknown 3 38%
Readers by discipline Count As %
Engineering 2 25%
Agricultural and Biological Sciences 1 13%
Computer Science 1 13%
Unknown 4 50%

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
#13,322,246
of 21,370,427 outputs
Outputs from Plant Methods
#662
of 1,019 outputs
Outputs of similar age
#179,974
of 338,090 outputs
Outputs of similar age from Plant Methods
#1
of 1 outputs
Altmetric has tracked 21,370,427 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 1,019 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 31st percentile – i.e., 31% 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 338,090 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them