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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A modified TILLING approach to detect induced mutations in tetraploid and hexaploid wheat
|
|---|---|
| Published in |
BMC Plant Biology, August 2009
|
| DOI | 10.1186/1471-2229-9-115 |
| Pubmed ID | |
| Authors |
Cristobal Uauy, Francine Paraiso, Pasqualina Colasuonno, Robert K Tran, Helen Tsai, Steve Berardi, Luca Comai, Jorge Dubcovsky |
| Abstract |
Wheat (Triticum ssp.) is an important food source for humans in many regions around the world. However, the ability to understand and modify gene function for crop improvement is hindered by the lack of available genomic resources. TILLING is a powerful reverse genetics approach that combines chemical mutagenesis with a high-throughput screen for mutations. Wheat is specially well-suited for TILLING due to the high mutation densities tolerated by polyploids, which allow for very efficient screens. Despite this, few TILLING populations are currently available. In addition, current TILLING screening protocols require high-throughput genotyping platforms, limiting their use. |
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 281 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 3 | 1% |
| United States | 2 | <1% |
| United Kingdom | 2 | <1% |
| France | 1 | <1% |
| Sweden | 1 | <1% |
| Turkey | 1 | <1% |
| Canada | 1 | <1% |
| New Zealand | 1 | <1% |
| India | 1 | <1% |
| Other | 4 | 1% |
| Unknown | 264 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 91 | 32% |
| Student > Ph. D. Student | 72 | 26% |
| Student > Master | 23 | 8% |
| Student > Bachelor | 17 | 6% |
| Professor | 12 | 4% |
| Other | 42 | 15% |
| Unknown | 24 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 217 | 77% |
| Biochemistry, Genetics and Molecular Biology | 25 | 9% |
| Computer Science | 3 | 1% |
| Chemistry | 2 | <1% |
| Medicine and Dentistry | 2 | <1% |
| Other | 4 | 1% |
| Unknown | 28 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 01 January 2021.
All research outputs
#3,112,553
of 22,758,248 outputs
Outputs from BMC Plant Biology
#175
of 3,236 outputs
Outputs of similar age
#10,851
of 90,514 outputs
Outputs of similar age from BMC Plant Biology
#1
of 8 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,236 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 94% 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 90,514 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 87% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them