The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Early Detection of Magnaporthe oryzae-Infected Barley Leaves and Lesion Visualization Based on Hyperspectral Imaging
|
---|---|
Published in |
Frontiers in Plant Science, January 2019
|
DOI | 10.3389/fpls.2018.01962 |
Pubmed ID | |
Authors |
Rui-Qing Zhou, Juan-Juan Jin, Qing-Mian Li, Zhen-Zhu Su, Xin-Jie Yu, Yu Tang, Shao-Ming Luo, Yong He, Xiao-Li Li |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 18% |
Thailand | 1 | 9% |
Chile | 1 | 9% |
Switzerland | 1 | 9% |
Unknown | 6 | 55% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 82% |
Scientists | 2 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 59 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 15% |
Student > Master | 6 | 10% |
Student > Bachelor | 6 | 10% |
Student > Doctoral Student | 4 | 7% |
Researcher | 4 | 7% |
Other | 9 | 15% |
Unknown | 21 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 17 | 29% |
Immunology and Microbiology | 3 | 5% |
Computer Science | 2 | 3% |
Engineering | 2 | 3% |
Earth and Planetary Sciences | 2 | 3% |
Other | 5 | 8% |
Unknown | 28 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 March 2023.
All research outputs
#3,844,413
of 25,738,558 outputs
Outputs from Frontiers in Plant Science
#1,996
of 24,922 outputs
Outputs of similar age
#88,027
of 466,518 outputs
Outputs of similar age from Frontiers in Plant Science
#73
of 436 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,922 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 91% 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 466,518 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 436 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.