| Title |
Mining conifers’ mega-genome using rapid and efficient multiplexed high-throughput genotyping-by-sequencing (GBS) SNP discovery platform
|
|---|---|
| Published in |
Tree Genetics & Genomes, September 2013
|
| DOI | 10.1007/s11295-013-0657-1 |
| Authors |
Charles Chen, Sharon E. Mitchell, Robert J. Elshire, Edward S. Buckler, Yousry A. El-Kassaby |
Mendeley readers
The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 3 | 2% |
| France | 1 | <1% |
| Italy | 1 | <1% |
| United Kingdom | 1 | <1% |
| Malaysia | 1 | <1% |
| Canada | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Poland | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 123 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 31% |
| Researcher | 30 | 22% |
| Student > Master | 11 | 8% |
| Student > Postgraduate | 10 | 7% |
| Professor | 9 | 7% |
| Other | 21 | 16% |
| Unknown | 12 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 93 | 69% |
| Biochemistry, Genetics and Molecular Biology | 15 | 11% |
| Environmental Science | 4 | 3% |
| Business, Management and Accounting | 1 | <1% |
| Computer Science | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 15 | 11% |
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 18 September 2013.
All research outputs
#20,265,771
of 22,796,179 outputs
Outputs from Tree Genetics & Genomes
#287
of 314 outputs
Outputs of similar age
#172,945
of 197,683 outputs
Outputs of similar age from Tree Genetics & Genomes
#5
of 6 outputs
Altmetric has tracked 22,796,179 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 314 research outputs from this source. They receive a mean Attention Score of 3.6. 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 197,683 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 6 others from the same source and published within six weeks on either side of this one.