| Title |
1k-RiCA (1K-Rice Custom Amplicon) a novel genotyping amplicon-based SNP assay for genetics and breeding applications in rice
|
|---|---|
| Published in |
Rice, July 2019
|
| DOI | 10.1186/s12284-019-0311-0 |
| Pubmed ID | |
| Authors |
Juan David Arbelaez, Maria Stefanie Dwiyanti, Erwin Tandayu, Krizzel Llantada, Annalhea Jarana, John Carlos Ignacio, John Damien Platten, Joshua Cobb, Jessica Elaine Rutkoski, Michael J. Thomson, Tobias Kretzschmar |
X Demographics
The data shown below were collected from the profiles of 6 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 States | 1 | 17% |
| Taiwan | 1 | 17% |
| United Kingdom | 1 | 17% |
| Philippines | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 29% |
| Student > Ph. D. Student | 9 | 11% |
| Student > Master | 6 | 8% |
| Student > Postgraduate | 3 | 4% |
| Student > Bachelor | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 28 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 37 | 47% |
| Biochemistry, Genetics and Molecular Biology | 6 | 8% |
| Computer Science | 3 | 4% |
| Environmental Science | 2 | 3% |
| Engineering | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 30 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 29 July 2019.
All research outputs
#7,463,924
of 23,646,998 outputs
Outputs from Rice
#92
of 398 outputs
Outputs of similar age
#129,960
of 347,806 outputs
Outputs of similar age from Rice
#8
of 22 outputs
Altmetric has tracked 23,646,998 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 398 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 77% 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 347,806 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 62% of its contemporaries.
We're also able to compare this research output to 22 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 68% of its contemporaries.