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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Image-Based Machine Learning Characterizes Root Nodule in Soybean Exposed to Silicon
|
|---|---|
| Published in |
Frontiers in Plant Science, October 2020
|
| DOI | 10.3389/fpls.2020.520161 |
| Pubmed ID | |
| Authors |
Yong Suk Chung, Unseok Lee, Seong Heo, Renato Rodrigues Silva, Chae-In Na, Yoonha Kim |
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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 25% |
| Researcher | 5 | 21% |
| Student > Master | 3 | 13% |
| Student > Bachelor | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 8 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 33% |
| Unspecified | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Environmental Science | 1 | 4% |
| Mathematics | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 46% |
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 03 December 2020.
All research outputs
#14,525,076
of 23,263,851 outputs
Outputs from Frontiers in Plant Science
#8,387
of 21,044 outputs
Outputs of similar age
#229,545
of 420,512 outputs
Outputs of similar age from Frontiers in Plant Science
#239
of 467 outputs
Altmetric has tracked 23,263,851 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 21,044 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 420,512 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 467 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.