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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An efficient method for stable protein targeting in grasses (Poaceae): a case study in Puccinellia tenuiflora
|
|---|---|
| Published in |
BMC Biotechnology, June 2014
|
| DOI | 10.1186/1472-6750-14-52 |
| Pubmed ID | |
| Authors |
Yuanyuan Bu, Mengqing Zhao, Bo Sun, Xinxin Zhang, Tetsuo Takano, Shenkui Liu |
| Abstract |
An efficient transformation method is lacking for most non-model plant species to test gene function. Therefore, subcellular localization of proteins of interest from non-model plants is mainly carried out through transient transformation in homologous cells or in heterologous cells from model species such as Arabidopsis. Although analysis of expression patterns in model organisms like yeast and Arabidopsis can provide important clues about protein localization, these heterologous systems may not always faithfully reflect the native subcellular distribution in other species. On the other hand, transient expression in protoplasts from species of interest has limited ability for detailed sub-cellular localization analysis (e.g., those involving subcellular fractionation or sectioning and immunodetection), as it results in heterogeneous populations comprised of both transformed and untransformed cells. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 20% |
| Researcher | 2 | 20% |
| Other | 1 | 10% |
| Professor | 1 | 10% |
| Student > Doctoral Student | 1 | 10% |
| Other | 2 | 20% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 50% |
| Biochemistry, Genetics and Molecular Biology | 2 | 20% |
| Social Sciences | 1 | 10% |
| Unknown | 2 | 20% |
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 06 June 2014.
All research outputs
#17,722,094
of 22,757,090 outputs
Outputs from BMC Biotechnology
#730
of 935 outputs
Outputs of similar age
#155,720
of 228,027 outputs
Outputs of similar age from BMC Biotechnology
#22
of 33 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 935 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 18th percentile – i.e., 18% 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 228,027 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.