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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Maize Tassel Detection From UAV Imagery Using Deep Learning
|
|---|---|
| Published in |
Frontiers in Robotics and AI, June 2021
|
| DOI | 10.3389/frobt.2021.600410 |
| Pubmed ID | |
| Authors |
Aziza Alzadjali, Mohammed H. Alali, Arun Narenthiran Veeranampalayam Sivakumar, Jitender S. Deogun, Stephen Scott, James C. Schnable, Yeyin Shi |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 11% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Master | 4 | 9% |
| Lecturer | 3 | 7% |
| Student > Doctoral Student | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 24 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 18% |
| Engineering | 6 | 13% |
| Agricultural and Biological Sciences | 3 | 7% |
| Unspecified | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 24 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 11 June 2021.
All research outputs
#15,154,377
of 23,308,124 outputs
Outputs from Frontiers in Robotics and AI
#918
of 1,540 outputs
Outputs of similar age
#244,121
of 447,558 outputs
Outputs of similar age from Frontiers in Robotics and AI
#86
of 142 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,540 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 31st percentile – i.e., 31% 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 447,558 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.