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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning
|
|---|---|
| Published in |
Frontiers in Plant Science, March 2022
|
| DOI | 10.3389/fpls.2022.716506 |
| Pubmed ID | |
| Authors |
Emily S. Bellis, Ahmed A. Hashem, Jason L. Causey, Benjamin R. K. Runkle, Beatriz Moreno-García, Brayden W. Burns, V. Steven Green, Timothy N. Burcham, Michele L. Reba, Xiuzhen Huang |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 14% |
| Lecturer | 5 | 9% |
| Researcher | 5 | 9% |
| Student > Ph. D. Student | 4 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 26 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 18% |
| Computer Science | 6 | 11% |
| Engineering | 4 | 7% |
| Environmental Science | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 28 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 March 2022.
All research outputs
#20,796,509
of 23,400,864 outputs
Outputs from Frontiers in Plant Science
#17,206
of 21,345 outputs
Outputs of similar age
#361,881
of 441,546 outputs
Outputs of similar age from Frontiers in Plant Science
#849
of 1,152 outputs
Altmetric has tracked 23,400,864 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,345 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 441,546 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,152 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.