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Mendeley readers
Attention Score in Context
| Title |
Identification of crop cultivars with consistently high lignocellulosic sugar release requires the use of appropriate statistical design and modelling
|
|---|---|
| Published in |
Biotechnology for Biofuels and Bioproducts, December 2013
|
| DOI | 10.1186/1754-6834-6-185 |
| Pubmed ID | |
| Authors |
Helena Oakey, Reza Shafiei, Jordi Comadran, Nicola Uzrek, Brian Cullis, Leonardo D Gomez, Caragh Whitehead, Simon J McQueen-Mason, Robbie Waugh, Claire Halpin |
| Abstract |
In this study, a multi-parent population of barley cultivars was grown in the field for two consecutive years and then straw saccharification (sugar release by enzymes) was subsequently analysed in the laboratory to identify the cultivars with the highest consistent sugar yield. This experiment was used to assess the benefit of accounting for both the multi-phase and multi-environment aspects of large-scale phenotyping experiments with field-grown germplasm through sound statistical design and analysis. |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 3% |
| United Kingdom | 1 | 3% |
| Unknown | 27 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 24% |
| Student > Ph. D. Student | 3 | 10% |
| Student > Bachelor | 2 | 7% |
| Other | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Other | 7 | 24% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 45% |
| Engineering | 6 | 21% |
| Mathematics | 2 | 7% |
| Chemistry | 1 | 3% |
| Chemical Engineering | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 6 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 28 December 2013.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#1,416
of 1,578 outputs
Outputs of similar age
#281,862
of 320,482 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#25
of 27 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 320,482 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.