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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava (Manihot esculenta Crantz)
|
|---|---|
| Published in |
Plant Methods, June 2020
|
| DOI | 10.1186/s13007-020-00625-1 |
| Pubmed ID | |
| Authors |
Michael Gomez Selvaraj, Manuel Valderrama, Diego Guzman, Milton Valencia, Henry Ruiz, Animesh Acharjee |
X Demographics
The data shown below were collected from the profiles of 44 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 | 7 | 16% |
| United Kingdom | 4 | 9% |
| Italy | 3 | 7% |
| Nigeria | 2 | 5% |
| Spain | 2 | 5% |
| United States | 2 | 5% |
| France | 1 | 2% |
| Nepal | 1 | 2% |
| Germany | 1 | 2% |
| Other | 6 | 14% |
| Unknown | 15 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 59% |
| Scientists | 14 | 32% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
| Practitioners (doctors, other healthcare professionals) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 132 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 14% |
| Student > Ph. D. Student | 15 | 11% |
| Researcher | 14 | 11% |
| Student > Doctoral Student | 6 | 5% |
| Lecturer | 6 | 5% |
| Other | 16 | 12% |
| Unknown | 56 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 20% |
| Engineering | 12 | 9% |
| Environmental Science | 11 | 8% |
| Computer Science | 8 | 6% |
| Unspecified | 3 | 2% |
| Other | 12 | 9% |
| Unknown | 60 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 96. 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 June 2021.
All research outputs
#449,898
of 25,998,826 outputs
Outputs from Plant Methods
#6
of 1,289 outputs
Outputs of similar age
#14,212
of 437,129 outputs
Outputs of similar age from Plant Methods
#1
of 42 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,289 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. 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 437,129 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 96% of its contemporaries.
We're also able to compare this research output to 42 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.