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Ayur-PlantNet: An unbiased light weight deep convolutional neural network for Indian Ayurvedic plant species classification

Overview of attention for article published in Journal of Applied Research on Medicinal and Aromatic Plants, April 2023
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Mentioned by

twitter
1 X user

Citations

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8 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Ayur-PlantNet: An unbiased light weight deep convolutional neural network for Indian Ayurvedic plant species classification
Published in
Journal of Applied Research on Medicinal and Aromatic Plants, April 2023
DOI 10.1016/j.jarmap.2023.100459
Authors

B.R. Pushpa, N.S. Rani

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 14%
Student > Master 2 10%
Other 2 10%
Researcher 1 5%
Student > Bachelor 1 5%
Other 1 5%
Unknown 11 52%
Readers by discipline Count As %
Computer Science 5 24%
Engineering 3 14%
Agricultural and Biological Sciences 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 9 43%
Attention Score in Context

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 10 January 2023.
All research outputs
#15,826,194
of 23,509,982 outputs
Outputs from Journal of Applied Research on Medicinal and Aromatic Plants
#16
of 44 outputs
Outputs of similar age
#129,659
of 242,595 outputs
Outputs of similar age from Journal of Applied Research on Medicinal and Aromatic Plants
#2
of 5 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 44 research outputs from this source. They receive a mean Attention Score of 2.1. This one scored the same or higher as 28 of them.
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 242,595 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.