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Development of support vector machine-based model and comparative analysis with artificial neural network for modeling the plant tissue culture procedures: effect of plant growth regulators on…

Overview of attention for article published in Plant Methods, August 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
7 X users

Citations

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60 Dimensions

Readers on

mendeley
66 Mendeley
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Title
Development of support vector machine-based model and comparative analysis with artificial neural network for modeling the plant tissue culture procedures: effect of plant growth regulators on somatic embryogenesis of chrysanthemum, as a case study
Published in
Plant Methods, August 2020
DOI 10.1186/s13007-020-00655-9
Pubmed ID
Authors

Mohsen Hesami, Roohangiz Naderi, Masoud Tohidfar, Mohsen Yoosefzadeh-Najafabadi

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 18%
Student > Master 7 11%
Researcher 7 11%
Student > Doctoral Student 3 5%
Lecturer 3 5%
Other 8 12%
Unknown 26 39%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 32%
Biochemistry, Genetics and Molecular Biology 4 6%
Engineering 4 6%
Computer Science 2 3%
Business, Management and Accounting 1 2%
Other 3 5%
Unknown 31 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 December 2020.
All research outputs
#6,879,901
of 23,230,825 outputs
Outputs from Plant Methods
#425
of 1,099 outputs
Outputs of similar age
#145,670
of 398,509 outputs
Outputs of similar age from Plant Methods
#14
of 41 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,099 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 60% of its peers.
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 398,509 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.