| Title |
A machine vision platform for measuring imbibition of maize kernels: quantification of genetic effects and correlations with germination
|
|---|---|
| Published in |
Plant Methods, December 2018
|
| DOI | 10.1186/s13007-018-0383-7 |
| Pubmed ID | |
| Authors |
Nathan D. Miller, Scott C. Stelpflug, Shawn M. Kaeppler, Edgar P. Spalding |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 1 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 25% |
| Student > Ph. D. Student | 5 | 16% |
| Student > Bachelor | 3 | 9% |
| Researcher | 2 | 6% |
| Professor | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 9 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 50% |
| Engineering | 3 | 9% |
| Computer Science | 2 | 6% |
| Environmental Science | 1 | 3% |
| Neuroscience | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 8 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 13 October 2019.
All research outputs
#6,472,967
of 23,120,280 outputs
Outputs from Plant Methods
#404
of 1,094 outputs
Outputs of similar age
#133,702
of 435,957 outputs
Outputs of similar age from Plant Methods
#11
of 31 outputs
Altmetric has tracked 23,120,280 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,094 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 gotten more attention than average, scoring higher than 62% 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 435,957 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% 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 gotten more attention than average, scoring higher than 64% of its contemporaries.