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Mendeley readers
Attention Score in Context
| Title |
Targeting environmental adaptation in the monocot model Brachypodium distachyon: a multi-faceted approach
|
|---|---|
| Published in |
BMC Genomics, September 2014
|
| DOI | 10.1186/1471-2164-15-801 |
| Pubmed ID | |
| Authors |
Matteo Dell’Acqua, Andrea Zuccolo, Metin Tuna, Luca Gianfranceschi, Mario Enrico Pè |
| Abstract |
The local environment plays a major role in the spatial distribution of plant populations. Natural plant populations have an extremely poor displacing capacity, so their continued survival in a given environment depends on how well they adapt to local pedoclimatic conditions. Genomic tools can be used to identify adaptive traits at a DNA level and to further our understanding of evolutionary processes. Here we report the use of genotyping-by-sequencing on local groups of the sequenced monocot model species Brachypodium distachyon. Exploiting population genetics, landscape genomics and genome wide association studies, we evaluate B. distachyon role as a natural probe for identifying genomic loci involved in environmental adaptation. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Italy | 2 | 3% |
| Japan | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 72 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 29% |
| Student > Ph. D. Student | 17 | 22% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 5 | 6% |
| Other | 5 | 6% |
| Other | 15 | 19% |
| Unknown | 7 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 68% |
| Biochemistry, Genetics and Molecular Biology | 12 | 15% |
| Environmental Science | 1 | 1% |
| Computer Science | 1 | 1% |
| Social Sciences | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 9 | 12% |
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 23 September 2014.
All research outputs
#19,017,658
of 23,577,654 outputs
Outputs from BMC Genomics
#8,327
of 10,787 outputs
Outputs of similar age
#179,973
of 251,352 outputs
Outputs of similar age from BMC Genomics
#148
of 205 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 251,352 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.