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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Millimeter-Level Plant Disease Detection From Aerial Photographs via Deep Learning and Crowdsourced Data
|
|---|---|
| Published in |
Frontiers in Plant Science, December 2019
|
| DOI | 10.3389/fpls.2019.01550 |
| Pubmed ID | |
| Authors |
Tyr Wiesner-Hanks, Harvey Wu, Ethan Stewart, Chad DeChant, Nicholas Kaczmar, Hod Lipson, Michael A. Gore, Rebecca J. Nelson |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 39% |
| India | 1 | 6% |
| Singapore | 1 | 6% |
| Kenya | 1 | 6% |
| Australia | 1 | 6% |
| Unknown | 7 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 61% |
| Scientists | 7 | 39% |
Mendeley readers
The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 147 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 14% |
| Student > Master | 20 | 14% |
| Researcher | 18 | 12% |
| Student > Doctoral Student | 8 | 5% |
| Student > Bachelor | 5 | 3% |
| Other | 16 | 11% |
| Unknown | 60 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 23% |
| Computer Science | 18 | 12% |
| Engineering | 13 | 9% |
| Medicine and Dentistry | 4 | 3% |
| Environmental Science | 2 | 1% |
| Other | 8 | 5% |
| Unknown | 68 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 24 February 2020.
All research outputs
#2,948,737
of 25,386,384 outputs
Outputs from Frontiers in Plant Science
#1,324
of 24,590 outputs
Outputs of similar age
#67,448
of 452,632 outputs
Outputs of similar age from Frontiers in Plant Science
#22
of 399 outputs
Altmetric has tracked 25,386,384 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,590 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 94% 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 452,632 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 399 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.