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Mendeley readers
Attention Score in Context
| Title |
Acetosyringone treatment duration affects large T-DNA molecule transfer to rice callus
|
|---|---|
| Published in |
BMC Biotechnology, August 2018
|
| DOI | 10.1186/s12896-018-0459-5 |
| Pubmed ID | |
| Authors |
Jing Xi, Minesh Patel, Shujie Dong, Qiudeng Que, Rongda Qu |
| Abstract |
Large T-DNA fragment transfer has long been a problem for Agrobacterium-mediated transformation. Although vector systems, such as the BIBAC series, were successfully developed for the purpose, low transformation efficiencies were consistently observed. To gain insights of this problem in monocot transformation, we investigated the T-strand accumulation of various size of T-DNA in two kinds of binary vectors (one copy vs. multi-copy) upon acetosyringone (AS) induction and explored ways to improve the efficiency of the large T-DNA fragment transfer in Agrobacterium-mediated rice transformation. By performing immuno-precipitation of VirD2-T-strands and quantitative real-time PCR assays, we monitored the accumulation of the T-strands in Agrobacterium tumeficiens after AS induction. We further demonstrated that extension of AS induction time highly significantly improved large-size T-DNA transfer to rice cells. Our data provide valuable information of the T-strand dynamics and its impact on large T-DNA transfer in monocots, and likely dicots as well. |
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 % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 16% |
| Student > Master | 8 | 14% |
| Student > Bachelor | 8 | 14% |
| Student > Ph. D. Student | 5 | 9% |
| Other | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 16 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 36% |
| Biochemistry, Genetics and Molecular Biology | 12 | 21% |
| Computer Science | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Unspecified | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 17 | 30% |
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 13 August 2018.
All research outputs
#20,529,980
of 23,099,576 outputs
Outputs from BMC Biotechnology
#852
of 941 outputs
Outputs of similar age
#289,155
of 331,391 outputs
Outputs of similar age from BMC Biotechnology
#11
of 15 outputs
Altmetric has tracked 23,099,576 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 941 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.