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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of Soybean Plant Density Using a Machine Learning Model and Vegetation Indices Extracted from RGB Images Taken with a UAV
|
|---|---|
| Published in |
Agronomy, July 2020
|
| DOI | 10.3390/agronomy10081108 |
| Authors |
Predrag Ranđelović, Vuk Đorđević, Stanko Milić, Svetlana Balešević-Tubić, Kristina Petrović, Jegor Miladinović, Vojin Đukić |
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 % |
|---|---|---|
| Unknown | 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 15% |
| Researcher | 7 | 8% |
| Student > Ph. D. Student | 7 | 8% |
| Student > Bachelor | 5 | 6% |
| Student > Doctoral Student | 3 | 4% |
| Other | 8 | 9% |
| Unknown | 42 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 18% |
| Engineering | 9 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Environmental Science | 2 | 2% |
| Earth and Planetary Sciences | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 49 | 58% |
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 12 August 2020.
All research outputs
#15,622,436
of 23,230,825 outputs
Outputs from Agronomy
#1,902
of 3,990 outputs
Outputs of similar age
#248,628
of 398,152 outputs
Outputs of similar age from Agronomy
#212
of 372 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,990 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 39th percentile – i.e., 39% 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 398,152 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 372 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.