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Developing precision agriculture using data augmentation framework for automatic identification of castor insect pests

Overview of attention for article published in Frontiers in Plant Science, February 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Developing precision agriculture using data augmentation framework for automatic identification of castor insect pests
Published in
Frontiers in Plant Science, February 2023
DOI 10.3389/fpls.2023.1101943
Pubmed ID
Authors

Nitin, Satinder Bal Gupta, RajKumar Yadav, Fatemeh Bovand, Pankaj Kumar Tyagi

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 8%
Professor 2 8%
Student > Master 1 4%
Student > Ph. D. Student 1 4%
Other 1 4%
Other 1 4%
Unknown 18 69%
Readers by discipline Count As %
Unspecified 2 8%
Engineering 2 8%
Computer Science 1 4%
Business, Management and Accounting 1 4%
Materials Science 1 4%
Other 1 4%
Unknown 18 69%
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 23 February 2023.
All research outputs
#14,627,139
of 23,415,749 outputs
Outputs from Frontiers in Plant Science
#8,518
of 21,366 outputs
Outputs of similar age
#146,290
of 330,730 outputs
Outputs of similar age from Frontiers in Plant Science
#330
of 1,189 outputs
Altmetric has tracked 23,415,749 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 21,366 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 55% 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 330,730 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 52% of its contemporaries.
We're also able to compare this research output to 1,189 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 62% of its contemporaries.