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X Demographics
Mendeley readers
Attention Score in Context
Title |
Identification of cotton pest and disease based on CFNet- VoV-GCSP -LSKNet-YOLOv8s: a new era of precision agriculture
|
---|---|
Published in |
Frontiers in Plant Science, February 2024
|
DOI | 10.3389/fpls.2024.1348402 |
Pubmed ID | |
Authors |
Rujia Li, Yiting He, Yadong Li, Weibo Qin, Arzlan Abbas, Rongbiao Ji, Shuang Li, Yehui Wu, Xiaohai Sun, Jianping Yang |
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 % |
---|---|---|
Algeria | 1 | 13% |
Switzerland | 1 | 13% |
Unknown | 6 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Scientists | 2 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 40% |
Student > Master | 1 | 20% |
Unknown | 2 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 40% |
Computer Science | 1 | 20% |
Unknown | 2 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 29 February 2024.
All research outputs
#7,854,022
of 25,387,668 outputs
Outputs from Frontiers in Plant Science
#4,702
of 24,613 outputs
Outputs of similar age
#50,637
of 173,676 outputs
Outputs of similar age from Frontiers in Plant Science
#29
of 467 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 24,613 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 80% 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 173,676 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 70% of its contemporaries.
We're also able to compare this research output to 467 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.