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X Demographics
Mendeley readers
Attention Score in Context
Title |
Accuracy of a Smartphone-Based Object Detection Model, PlantVillage Nuru, in Identifying the Foliar Symptoms of the Viral Diseases of Cassava–CMD and CBSD
|
---|---|
Published in |
Frontiers in Plant Science, December 2020
|
DOI | 10.3389/fpls.2020.590889 |
Pubmed ID | |
Authors |
Latifa M. Mrisho, Neema A. Mbilinyi, Mathias Ndalahwa, Amanda M. Ramcharan, Annalyse K. Kehs, Peter C. McCloskey, Harun Murithi, David P. Hughes, James P. Legg |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Kenya | 8 | 27% |
Nigeria | 2 | 7% |
France | 1 | 3% |
Unknown | 19 | 63% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 23 | 77% |
Scientists | 6 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 103 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 11% |
Student > Bachelor | 11 | 11% |
Student > Master | 10 | 10% |
Student > Ph. D. Student | 9 | 9% |
Student > Doctoral Student | 5 | 5% |
Other | 12 | 12% |
Unknown | 45 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 21 | 20% |
Computer Science | 13 | 13% |
Engineering | 5 | 5% |
Social Sciences | 4 | 4% |
Biochemistry, Genetics and Molecular Biology | 3 | 3% |
Other | 7 | 7% |
Unknown | 50 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 44. 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 09 April 2024.
All research outputs
#954,932
of 25,837,817 outputs
Outputs from Frontiers in Plant Science
#247
of 24,929 outputs
Outputs of similar age
#26,051
of 526,346 outputs
Outputs of similar age from Frontiers in Plant Science
#11
of 533 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,929 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 98% 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 526,346 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 94% of its contemporaries.
We're also able to compare this research output to 533 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 97% of its contemporaries.