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X Demographics
Mendeley readers
Attention Score in Context
| Title |
AI-powered banana diseases and pest detection
|
|---|---|
| Published in |
Plant Methods, August 2019
|
| DOI | 10.1186/s13007-019-0475-z |
| Authors |
Michael Gomez Selvaraj, Alejandro Vergara, Henry Ruiz, Nancy Safari, Sivalingam Elayabalan, Walter Ocimati, Guy Blomme |
X Demographics
The data shown below were collected from the profiles of 38 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 5 | 13% |
| United States | 4 | 11% |
| United Kingdom | 3 | 8% |
| Spain | 2 | 5% |
| France | 2 | 5% |
| Nigeria | 2 | 5% |
| Canada | 1 | 3% |
| Italy | 1 | 3% |
| Netherlands | 1 | 3% |
| Other | 6 | 16% |
| Unknown | 11 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 76% |
| Scientists | 5 | 13% |
| Science communicators (journalists, bloggers, editors) | 3 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 472 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 472 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 45 | 10% |
| Student > Master | 44 | 9% |
| Student > Ph. D. Student | 40 | 8% |
| Researcher | 38 | 8% |
| Lecturer | 17 | 4% |
| Other | 69 | 15% |
| Unknown | 219 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 83 | 18% |
| Engineering | 57 | 12% |
| Agricultural and Biological Sciences | 47 | 10% |
| Unspecified | 11 | 2% |
| Biochemistry, Genetics and Molecular Biology | 9 | 2% |
| Other | 35 | 7% |
| Unknown | 230 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 256. 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 01 November 2023.
All research outputs
#144,034
of 25,515,042 outputs
Outputs from Plant Methods
#1
of 1,275 outputs
Outputs of similar age
#2,700
of 355,073 outputs
Outputs of similar age from Plant Methods
#1
of 41 outputs
Altmetric has tracked 25,515,042 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,275 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 99% 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 355,073 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 99% of its contemporaries.
We're also able to compare this research output to 41 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 99% of its contemporaries.