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DeepAProt: Deep learning based abiotic stress protein sequence classification and identification tool in cereals

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

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
17 Mendeley
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Title
DeepAProt: Deep learning based abiotic stress protein sequence classification and identification tool in cereals
Published in
Frontiers in Plant Science, January 2023
DOI 10.3389/fpls.2022.1008756
Pubmed ID
Authors

Bulbul Ahmed, Ashraful Haque, Mir Asif Iquebal, Sarika Jaiswal, U. B. Angadi, Dinesh Kumar, Anil Rai

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

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 18%
Student > Ph. D. Student 2 12%
Researcher 2 12%
Student > Bachelor 1 6%
Unknown 9 53%
Readers by discipline Count As %
Environmental Science 2 12%
Agricultural and Biological Sciences 2 12%
Computer Science 2 12%
Philosophy 1 6%
Unknown 10 59%
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 15 January 2023.
All research outputs
#14,201,208
of 23,544,006 outputs
Outputs from Frontiers in Plant Science
#7,488
of 21,574 outputs
Outputs of similar age
#180,939
of 435,565 outputs
Outputs of similar age from Frontiers in Plant Science
#342
of 1,335 outputs
Altmetric has tracked 23,544,006 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,574 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 64% 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 435,565 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 56% of its contemporaries.
We're also able to compare this research output to 1,335 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 72% of its contemporaries.