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Automatic Fungi Recognition: Deep Learning Meets Mycology

Overview of attention for article published in Sensors, January 2022
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1 X user

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107 Mendeley
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Article details
Title
Automatic Fungi Recognition: Deep Learning Meets Mycology
Published in
Sensors, January 2022
DOI 10.3390/s22020633
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 107 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 13 12%
Student > Bachelor 8 7%
Student > Ph. D. Student 6 6%
Researcher 5 5%
Other 2 2%
Other 6 6%
Unknown 67 63%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 10 9%
Computer Science 9 8%
Engineering 4 4%
Environmental Science 3 3%
Social Sciences 3 3%
Other 9 8%
Unknown 69 64%
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 30 May 2024.
All research outputs
#25,005,165
of 27,790,740 outputs
Outputs from Sensors
#19,179
of 30,385 outputs
Outputs of similar age
#463,093
of 537,809 outputs
Outputs of similar age from Sensors
#772
of 1,630 outputs
Altmetric has tracked 27,790,740 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,385 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% 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 537,809 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,630 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.