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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Contour-Based Detection and Quantification of Tar Spot Stromata Using Red-Green-Blue (RGB) Imagery
|
|---|---|
| Published in |
Frontiers in Plant Science, October 2021
|
| DOI | 10.3389/fpls.2021.675975 |
| Pubmed ID | |
| Authors |
Da-Young Lee, Dong-Yeop Na, Carlos Góngora-Canul, Sriram Baireddy, Brenden Lane, Andres P. Cruz, Mariela Fernández-Campos, Nathan M. Kleczewski, Darcy E. P. Telenko, Stephen B. Goodwin, Edward J. Delp, C. D. Cruz |
X Demographics
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 20% |
| Student > Ph. D. Student | 1 | 10% |
| Student > Master | 1 | 10% |
| Researcher | 1 | 10% |
| Professor > Associate Professor | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 20% |
| Agricultural and Biological Sciences | 2 | 20% |
| Computer Science | 1 | 10% |
| Unknown | 5 | 50% |
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 04 October 2021.
All research outputs
#17,158,531
of 25,994,718 outputs
Outputs from Frontiers in Plant Science
#11,174
of 24,979 outputs
Outputs of similar age
#251,198
of 440,449 outputs
Outputs of similar age from Frontiers in Plant Science
#350
of 839 outputs
Altmetric has tracked 25,994,718 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,979 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 440,449 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 839 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.