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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Rapeseed Stand Count Estimation at Leaf Development Stages With UAV Imagery and Convolutional Neural Networks
|
|---|---|
| Published in |
Frontiers in Plant Science, June 2020
|
| DOI | 10.3389/fpls.2020.00617 |
| Pubmed ID | |
| Authors |
Jian Zhang, Biquan Zhao, Chenghai Yang, Yeyin Shi, Qingxi Liao, Guangsheng Zhou, Chufeng Wang, Tianjin Xie, Zhao Jiang, Dongyan Zhang, Wanneng Yang, Chenglong Huang, Jing Xie |
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 % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 14% |
| Student > Master | 7 | 12% |
| Researcher | 5 | 9% |
| Student > Bachelor | 3 | 5% |
| Student > Doctoral Student | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 26 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 19% |
| Engineering | 5 | 9% |
| Computer Science | 4 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Environmental Science | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 26 | 45% |
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 23 July 2020.
All research outputs
#14,487,252
of 23,217,343 outputs
Outputs from Frontiers in Plant Science
#8,355
of 20,966 outputs
Outputs of similar age
#222,346
of 399,063 outputs
Outputs of similar age from Frontiers in Plant Science
#333
of 570 outputs
Altmetric has tracked 23,217,343 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,966 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 55% 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 399,063 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 570 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.