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X Demographics
Mendeley readers
Attention Score in Context
Title |
Plant diseases and pests detection based on deep learning: a review
|
---|---|
Published in |
Plant Methods, February 2021
|
DOI | 10.1186/s13007-021-00722-9 |
Pubmed ID | |
Authors |
Jun Liu, Xuewei Wang |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 13% |
Sri Lanka | 1 | 13% |
United Kingdom | 1 | 13% |
Unknown | 5 | 63% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Scientists | 2 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 776 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 776 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 71 | 9% |
Student > Master | 53 | 7% |
Researcher | 41 | 5% |
Student > Bachelor | 38 | 5% |
Lecturer | 28 | 4% |
Other | 75 | 10% |
Unknown | 470 | 61% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 128 | 16% |
Engineering | 65 | 8% |
Agricultural and Biological Sciences | 46 | 6% |
Biochemistry, Genetics and Molecular Biology | 7 | <1% |
Environmental Science | 5 | <1% |
Other | 40 | 5% |
Unknown | 485 | 63% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 19 October 2023.
All research outputs
#2,028,185
of 24,640,106 outputs
Outputs from Plant Methods
#86
of 1,189 outputs
Outputs of similar age
#53,051
of 424,810 outputs
Outputs of similar age from Plant Methods
#6
of 29 outputs
Altmetric has tracked 24,640,106 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,189 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 92% 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 424,810 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 87% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.