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Convolutional neural networks and outline analyses for archaeobotanical studies of domestication and subspecific identification

Overview of attention for article published in Peer Community Journal, October 2025
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Mentioned by

bluesky
1 Bluesky user

Readers on

mendeley
10 Mendeley
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Article details
Title
Convolutional neural networks and outline analyses for archaeobotanical studies of domestication and subspecific identification
Published in
Peer Community Journal, October 2025
DOI 10.24072/pcjournal.647
Authors

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Lecturer 1 10%
Student > Doctoral Student 1 10%
Student > Ph. D. Student 1 10%
Student > Master 1 10%
Researcher 1 10%
Other 0 0%
Unknown 5 50%
Readers by discipline
Readers by discipline Count As %
Social Sciences 2 20%
Arts and Humanities 1 10%
Computer Science 1 10%
Medicine and Dentistry 1 10%
Unknown 5 50%
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 14 November 2025.
All research outputs
#26,992,707
of 32,665,822 outputs
Outputs from Peer Community Journal
#100
of 118 outputs
Outputs of similar age
#254,600
of 357,358 outputs
Outputs of similar age from Peer Community Journal
#6
of 7 outputs
Altmetric has tracked 32,665,822 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
So far Altmetric has tracked 118 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 5th percentile – i.e., 5% 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 357,358 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.