You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Monitoring System for the Segmentation and Grading of Broccoli Head Based on Deep Learning and Neural Networks
|
|---|---|
| Published in |
Frontiers in Plant Science, April 2020
|
| DOI | 10.3389/fpls.2020.00402 |
| Pubmed ID | |
| Authors |
Chengquan Zhou, Jun Hu, Zhifu Xu, Jibo Yue, Hongbao Ye, Guijun Yang |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 17% |
| Student > Master | 4 | 14% |
| Researcher | 3 | 10% |
| Lecturer | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 10 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 21% |
| Agricultural and Biological Sciences | 5 | 17% |
| Environmental Science | 3 | 10% |
| Engineering | 2 | 7% |
| Neuroscience | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 11 | 38% |
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 18 May 2020.
All research outputs
#15,587,655
of 24,703,339 outputs
Outputs from Frontiers in Plant Science
#9,288
of 23,533 outputs
Outputs of similar age
#212,987
of 377,917 outputs
Outputs of similar age from Frontiers in Plant Science
#267
of 451 outputs
Altmetric has tracked 24,703,339 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,533 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 377,917 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 451 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.