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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comparison of ImageJ and machine learning based image analysis methods to measure cassava bacterial blight disease severity
|
|---|---|
| Published in |
Plant Methods, June 2022
|
| DOI | 10.1186/s13007-022-00906-x |
| Pubmed ID | |
| Authors |
Kiona Elliott, Jeffrey C. Berry, Hobin Kim, Rebecca S. Bart |
X Demographics
The data shown below were collected from the profiles of 43 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 | 9 | 21% |
| India | 3 | 7% |
| France | 2 | 5% |
| United Kingdom | 2 | 5% |
| Switzerland | 1 | 2% |
| Colombia | 1 | 2% |
| Spain | 1 | 2% |
| China | 1 | 2% |
| Germany | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 21 | 49% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 31 | 72% |
| Scientists | 11 | 26% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 6 | 15% |
| Student > Ph. D. Student | 5 | 12% |
| Researcher | 4 | 10% |
| Student > Master | 2 | 5% |
| Professor | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 17 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 34% |
| Computer Science | 3 | 7% |
| Environmental Science | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Unspecified | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 17 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 03 February 2023.
All research outputs
#1,516,520
of 25,303,733 outputs
Outputs from Plant Methods
#58
of 1,249 outputs
Outputs of similar age
#33,465
of 435,878 outputs
Outputs of similar age from Plant Methods
#1
of 37 outputs
Altmetric has tracked 25,303,733 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,249 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 95% 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 435,878 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 92% of its contemporaries.
We're also able to compare this research output to 37 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.