| Title |
Genomics reveals new landscapes for crop improvement
|
|---|---|
| Published in |
Genome Biology, June 2013
|
| DOI | 10.1186/gb-2013-14-6-206 |
| Pubmed ID | |
| Authors |
Michael W Bevan, Cristobal Uauy |
| Abstract |
The sequencing of large and complex genomes of crop species, facilitated by new sequencing technologies and bioinformatic approaches, has provided new opportunities for crop improvement. Current challenges include understanding how genetic variation translates into phenotypic performance in the field. |
X Demographics
The data shown below were collected from the profiles of 21 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 | 4 | 19% |
| France | 2 | 10% |
| Chile | 1 | 5% |
| United States | 1 | 5% |
| Tanzania, United Republic of | 1 | 5% |
| Australia | 1 | 5% |
| Comoros | 1 | 5% |
| Brazil | 1 | 5% |
| Germany | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 8 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 71% |
| Scientists | 5 | 24% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 3 | 1% |
| United States | 3 | 1% |
| India | 3 | 1% |
| Australia | 2 | <1% |
| Argentina | 2 | <1% |
| Japan | 2 | <1% |
| Netherlands | 2 | <1% |
| United Kingdom | 2 | <1% |
| Brazil | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 203 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 53 | 23% |
| Student > Ph. D. Student | 51 | 22% |
| Student > Master | 32 | 14% |
| Student > Doctoral Student | 13 | 6% |
| Professor > Associate Professor | 11 | 5% |
| Other | 40 | 18% |
| Unknown | 28 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 162 | 71% |
| Biochemistry, Genetics and Molecular Biology | 14 | 6% |
| Computer Science | 7 | 3% |
| Environmental Science | 3 | 1% |
| Arts and Humanities | 2 | <1% |
| Other | 5 | 2% |
| Unknown | 35 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 August 2013.
All research outputs
#2,557,033
of 25,576,275 outputs
Outputs from Genome Biology
#2,038
of 4,492 outputs
Outputs of similar age
#21,309
of 209,492 outputs
Outputs of similar age from Genome Biology
#29
of 67 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,492 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 54% 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 209,492 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 67 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 58% of its contemporaries.