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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Deep-Learning-Based Real-Time Detector for Grape Leaf Diseases Using Improved Convolutional Neural Networks
|
|---|---|
| Published in |
Frontiers in Plant Science, June 2020
|
| DOI | 10.3389/fpls.2020.00751 |
| Pubmed ID | |
| Authors |
Xiaoyue Xie, Yuan Ma, Bin Liu, Jinrong He, Shuqin Li, Hongyan Wang |
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 % |
|---|---|---|
| Tanzania, United Republic of | 1 | 33% |
| Peru | 1 | 33% |
| Switzerland | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 210 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 11% |
| Student > Master | 17 | 8% |
| Researcher | 11 | 5% |
| Student > Bachelor | 10 | 5% |
| Lecturer | 9 | 4% |
| Other | 27 | 13% |
| Unknown | 113 | 54% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 55 | 26% |
| Engineering | 22 | 10% |
| Agricultural and Biological Sciences | 5 | 2% |
| Environmental Science | 4 | 2% |
| Unspecified | 2 | <1% |
| Other | 5 | 2% |
| Unknown | 117 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 05 April 2023.
All research outputs
#2,762,598
of 23,524,722 outputs
Outputs from Frontiers in Plant Science
#1,288
of 21,545 outputs
Outputs of similar age
#73,412
of 399,688 outputs
Outputs of similar age from Frontiers in Plant Science
#62
of 568 outputs
Altmetric has tracked 23,524,722 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,545 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 93% 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 399,688 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 81% of its contemporaries.
We're also able to compare this research output to 568 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.