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X Demographics
Mendeley readers
Attention Score in Context
Title |
Explainable AI for unveiling deep learning pollen classification model based on fusion of scattered light patterns and fluorescence spectroscopy
|
---|---|
Published in |
Scientific Reports, February 2023
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DOI | 10.1038/s41598-023-30064-6 |
Pubmed ID | |
Authors |
Sanja Brdar, Marko Panić, Predrag Matavulj, Mira Stanković, Dragana Bartolić, Branko Šikoparija |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 33% |
United States | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 6 | 22% |
Student > Ph. D. Student | 6 | 22% |
Other | 1 | 4% |
Lecturer | 1 | 4% |
Student > Master | 1 | 4% |
Other | 2 | 7% |
Unknown | 10 | 37% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 6 | 22% |
Agricultural and Biological Sciences | 3 | 11% |
Environmental Science | 2 | 7% |
Computer Science | 2 | 7% |
Engineering | 2 | 7% |
Other | 1 | 4% |
Unknown | 11 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 21 June 2023.
All research outputs
#3,855,622
of 23,917,076 outputs
Outputs from Scientific Reports
#30,836
of 129,816 outputs
Outputs of similar age
#70,108
of 406,865 outputs
Outputs of similar age from Scientific Reports
#691
of 3,505 outputs
Altmetric has tracked 23,917,076 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 129,816 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.5. This one has done well, scoring higher than 76% 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 406,865 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 3,505 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.