The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 |
Corn Seed Defect Detection Based on Watershed Algorithm and Two-Pathway Convolutional Neural Networks
|
|---|---|
| Published in |
Frontiers in Plant Science, February 2022
|
| DOI | 10.3389/fpls.2022.730190 |
| Pubmed ID | |
| Authors |
Linbai Wang, Jingyan Liu, Jun Zhang, Jing Wang, Xiaofei Fan |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 14% |
| Lecturer | 2 | 9% |
| Researcher | 2 | 9% |
| Unknown | 15 | 68% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 14% |
| Agricultural and Biological Sciences | 3 | 14% |
| Engineering | 1 | 5% |
| Unknown | 15 | 68% |
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 April 2022.
All research outputs
#18,974,825
of 23,523,017 outputs
Outputs from Frontiers in Plant Science
#14,730
of 21,545 outputs
Outputs of similar age
#317,661
of 443,119 outputs
Outputs of similar age from Frontiers in Plant Science
#691
of 1,080 outputs
Altmetric has tracked 23,523,017 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,545 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 19th percentile – i.e., 19% 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 443,119 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,080 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.