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Mendeley readers
Attention Score in Context
| Title |
Characterization of highly efficient heavy-ion mutagenesis in Arabidopsis thaliana
|
|---|---|
| Published in |
BMC Plant Biology, November 2011
|
| DOI | 10.1186/1471-2229-11-161 |
| Pubmed ID | |
| Authors |
Yusuke Kazama, Tomonari Hirano, Hiroyuki Saito, Yang Liu, Sumie Ohbu, Yoriko Hayashi, Tomoko Abe |
| Abstract |
Heavy-ion mutagenesis is recognised as a powerful technology to generate new mutants, especially in higher plants. Heavy-ion beams show high linear energy transfer (LET) and thus more effectively induce DNA double-strand breaks than other mutagenic techniques. Previously, we determined the most effective heavy-ion LET (LETmax: 30.0 keV μm(-1)) for Arabidopsis mutagenesis by analysing the effect of LET on mutation induction. However, the molecular structure of mutated DNA induced by heavy ions with LETmax remains unclear. Knowledge of the structure of mutated DNA will contribute to the effective exploitation of heavy-ion beam mutagenesis. |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 3% |
| Unknown | 63 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 22% |
| Student > Master | 11 | 17% |
| Student > Ph. D. Student | 9 | 14% |
| Professor > Associate Professor | 7 | 11% |
| Student > Bachelor | 4 | 6% |
| Other | 11 | 17% |
| Unknown | 9 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 58% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Physics and Astronomy | 3 | 5% |
| Unspecified | 1 | 2% |
| Chemical Engineering | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 13 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 25 October 2012.
All research outputs
#7,447,868
of 22,769,322 outputs
Outputs from BMC Plant Biology
#634
of 3,237 outputs
Outputs of similar age
#47,045
of 141,338 outputs
Outputs of similar age from BMC Plant Biology
#4
of 16 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,237 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 75% 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 141,338 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 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 56% of its contemporaries.