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X Demographics
Mendeley readers
Attention Score in Context
Title |
GrainScan: a low cost, fast method for grain size and colour measurements
|
---|---|
Published in |
Plant Methods, July 2014
|
DOI | 10.1186/1746-4811-10-23 |
Pubmed ID | |
Authors |
Alex P Whan, Alison B Smith, Colin R Cavanagh, Jean-Philippe F Ral, Lindsay M Shaw, Crispin A Howitt, Leanne Bischof |
Abstract |
Measuring grain characteristics is an integral component of cereal breeding and research into genetic control of seed development. Measures such as thousand grain weight are fast, but do not give an indication of variation within a sample. Other methods exist for detailed analysis of grain size, but are generally costly and very low throughput. Grain colour analysis is generally difficult to perform with accuracy, and existing methods are expensive and involved. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 2 | 50% |
Australia | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 2 | 50% |
Members of the public | 1 | 25% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 227 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Belgium | 2 | <1% |
Germany | 1 | <1% |
France | 1 | <1% |
Taiwan | 1 | <1% |
Zimbabwe | 1 | <1% |
Argentina | 1 | <1% |
Mexico | 1 | <1% |
Unknown | 219 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 47 | 21% |
Researcher | 46 | 20% |
Student > Master | 30 | 13% |
Student > Bachelor | 10 | 4% |
Student > Doctoral Student | 9 | 4% |
Other | 28 | 12% |
Unknown | 57 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 115 | 51% |
Engineering | 13 | 6% |
Biochemistry, Genetics and Molecular Biology | 10 | 4% |
Computer Science | 5 | 2% |
Environmental Science | 4 | 2% |
Other | 20 | 9% |
Unknown | 60 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 March 2017.
All research outputs
#14,387,227
of 25,371,288 outputs
Outputs from Plant Methods
#627
of 1,262 outputs
Outputs of similar age
#113,286
of 240,370 outputs
Outputs of similar age from Plant Methods
#7
of 14 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 240,370 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 52% of its contemporaries.
We're also able to compare this research output to 14 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 50% of its contemporaries.