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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Learning Algorithms Correctly Classify Brassica rapa Varieties Using Digital Images
|
|---|---|
| Published in |
Frontiers in Plant Science, September 2021
|
| DOI | 10.3389/fpls.2021.738685 |
| Pubmed ID | |
| Authors |
Minah Jung, Jong Seob Song, Seongmin Hong, SunWoo Kim, Sangjin Go, Yong Pyo Lim, Juhan Park, Sung Goo Park, Yong-Min Kim |
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 | 1 | 25% |
| India | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 16% |
| Lecturer | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Professor | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 10 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 11% |
| Computer Science | 2 | 11% |
| Unspecified | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Earth and Planetary Sciences | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 10 | 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 18 October 2021.
All research outputs
#16,333,240
of 24,833,726 outputs
Outputs from Frontiers in Plant Science
#10,709
of 23,725 outputs
Outputs of similar age
#239,883
of 426,548 outputs
Outputs of similar age from Frontiers in Plant Science
#350
of 842 outputs
Altmetric has tracked 24,833,726 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 23,725 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 48th percentile – i.e., 48% 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 426,548 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 842 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.