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Mendeley readers
Attention Score in Context
| Title |
A diploid wheat TILLING resource for wheat functional genomics
|
|---|---|
| Published in |
BMC Plant Biology, November 2012
|
| DOI | 10.1186/1471-2229-12-205 |
| Pubmed ID | |
| Authors |
Nidhi Rawat, Sunish K Sehgal, Anupama Joshi, Nolan Rothe, Duane L Wilson, Nathan McGraw, Praveen V Vadlani, Wanlong Li, Bikram S Gill |
| Abstract |
Triticum monococcum L., an A genome diploid einkorn wheat, was the first domesticated crop. As a diploid, it is attractive genetic model for the study of gene structure and function of wheat-specific traits. Diploid wheat is currently not amenable to reverse genetics approaches such as insertion mutagenesis and post-transcriptional gene silencing strategies. However, TILLING offers a powerful functional genetics approach for wheat gene analysis. |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 1% |
| Netherlands | 1 | 1% |
| Ethiopia | 1 | 1% |
| Indonesia | 1 | 1% |
| Australia | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 78 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 26% |
| Student > Ph. D. Student | 18 | 21% |
| Student > Postgraduate | 11 | 13% |
| Student > Master | 7 | 8% |
| Professor > Associate Professor | 6 | 7% |
| Other | 14 | 17% |
| Unknown | 6 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 61 | 73% |
| Biochemistry, Genetics and Molecular Biology | 7 | 8% |
| Social Sciences | 2 | 2% |
| Earth and Planetary Sciences | 1 | 1% |
| Computer Science | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 10 | 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 20 May 2013.
All research outputs
#18,339,860
of 22,711,242 outputs
Outputs from BMC Plant Biology
#2,067
of 3,216 outputs
Outputs of similar age
#139,738
of 183,548 outputs
Outputs of similar age from BMC Plant Biology
#19
of 29 outputs
Altmetric has tracked 22,711,242 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 3,216 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 22nd percentile – i.e., 22% 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 183,548 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.