You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
High-throughput method for ear phenotyping and kernel weight estimation in maize using ear digital imaging
|
|---|---|
| Published in |
Plant Methods, June 2018
|
| DOI | 10.1186/s13007-018-0317-4 |
| Pubmed ID | |
| Authors |
R. Makanza, M. Zaman-Allah, J. E. Cairns, J. Eyre, J. Burgueño, Ángela Pacheco, C. Diepenbrock, C. Magorokosho, A. Tarekegne, M. Olsen, B. M. Prasanna |
| Abstract |
Grain yield, ear and kernel attributes can assist to understand the performance of maize plant under different environmental conditions and can be used in the variety development process to address farmer's preferences. These parameters are however still laborious and expensive to measure. A low-cost ear digital imaging method was developed that provides estimates of ear and kernel attributes i.e., ear number and size, kernel number and size as well as kernel weight from photos of ears harvested from field trial plots. The image processing method uses a script that runs in a batch mode on ImageJ; an open source software. Kernel weight was estimated using the total kernel number derived from the number of kernels visible on the image and the average kernel size. Data showed a good agreement in terms of accuracy and precision between ground truth measurements and data generated through image processing. Broad-sense heritability of the estimated parameters was in the range or higher than that for measured grain weight. Limitation of the method for kernel weight estimation is discussed. The method developed in this work provides an opportunity to significantly reduce the cost of selection in the breeding process, especially for resource constrained crop improvement programs and can be used to learn more about the genetic bases of grain yield determinants. |
X Demographics
The data shown below were collected from the profiles of 24 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 | 4 | 17% |
| United Kingdom | 2 | 8% |
| Mexico | 2 | 8% |
| Spain | 2 | 8% |
| Oman | 1 | 4% |
| Peru | 1 | 4% |
| France | 1 | 4% |
| Canada | 1 | 4% |
| Australia | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 9 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 63% |
| Scientists | 6 | 25% |
| Practitioners (doctors, other healthcare professionals) | 2 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 100 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 20% |
| Student > Ph. D. Student | 17 | 17% |
| Student > Master | 16 | 16% |
| Other | 6 | 6% |
| Student > Bachelor | 5 | 5% |
| Other | 12 | 12% |
| Unknown | 24 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 50% |
| Engineering | 5 | 5% |
| Computer Science | 5 | 5% |
| Environmental Science | 2 | 2% |
| Earth and Planetary Sciences | 2 | 2% |
| Other | 5 | 5% |
| Unknown | 31 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 10 October 2023.
All research outputs
#1,210,651
of 25,628,260 outputs
Outputs from Plant Methods
#38
of 1,281 outputs
Outputs of similar age
#25,625
of 342,545 outputs
Outputs of similar age from Plant Methods
#1
of 31 outputs
Altmetric has tracked 25,628,260 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 1,281 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 97% 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 342,545 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 31 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.