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X Demographics
Mendeley readers
Attention Score in Context
| Title |
From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy
|
|---|---|
| Published in |
Phytopathology Research, April 2020
|
| DOI | 10.1186/s42483-020-00049-8 |
| Authors |
Clive H. Bock, Jayme G. A. Barbedo, Emerson M. Del Ponte, David Bohnenkamp, Anne-Katrin Mahlein |
X Demographics
The data shown below were collected from the profiles of 23 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 Kingdom | 4 | 17% |
| United States | 4 | 17% |
| Brazil | 2 | 9% |
| Colombia | 1 | 4% |
| India | 1 | 4% |
| Thailand | 1 | 4% |
| Switzerland | 1 | 4% |
| Germany | 1 | 4% |
| Ecuador | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 5 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 52% |
| Scientists | 8 | 35% |
| Science communicators (journalists, bloggers, editors) | 3 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 215 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 215 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 14% |
| Student > Doctoral Student | 20 | 9% |
| Student > Ph. D. Student | 17 | 8% |
| Student > Master | 16 | 7% |
| Unspecified | 12 | 6% |
| Other | 38 | 18% |
| Unknown | 82 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 66 | 31% |
| Computer Science | 16 | 7% |
| Unspecified | 12 | 6% |
| Biochemistry, Genetics and Molecular Biology | 7 | 3% |
| Engineering | 7 | 3% |
| Other | 16 | 7% |
| Unknown | 91 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 November 2023.
All research outputs
#2,607,812
of 25,387,668 outputs
Outputs from Phytopathology Research
#5
of 151 outputs
Outputs of similar age
#67,523
of 406,965 outputs
Outputs of similar age from Phytopathology Research
#1
of 4 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 151 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 96% 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 406,965 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them