You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
pMAA-Red: a new pPZP-derived vector for fast visual screening of transgenic Arabidopsis plants at the seed stage
|
|---|---|
| Published in |
BMC Biotechnology, July 2012
|
| DOI | 10.1186/1472-6750-12-37 |
| Pubmed ID | |
| Authors |
Muhammad Amjad Ali, Kausar Hussain Shah, Holger Bohlmann |
| Abstract |
The production of transgenic plants, either for the overproduction of the protein of interest, for promoter: reporter lines, or for the downregulation of genes is an important prerequisite in modern plant research but is also very time-consuming. We have produced additions to the pPZP family of vectors. Vector pPZP500 (derived from pPZP200) is devoid of NotI sites and vector pPZP600 (derived from pPZP500) contains a bacterial kanamycin resistance gene. Vector pMAA-Red contains a Pdf2.1: DsRed marker and a CaMV:: GUS cassette within the T-DNA and is useful for the production of promoter: GUS lines and overexpression lines. The Pdf2.1 promoter is expressed in seeds and syncytia induced by the beet cyst nematode Heterodera schachti in Arabidopsis roots. Transgenic seeds show red fluorescence which can be used for selection and the fluorescence level is indicative of the expression level of the transgene. The advantage is that plants can be grown on soil and that expression of the marker can be directly screened at the seed stage which saves time and resources. Due to the expression of the Pdf2.1: DsRed marker in syncytia, the vector is especially useful for the expression of a gene of interest in syncytia. The vector pMAA-Red allows for fast and easy production of transgenic Arabidopsis plants with a strong expression level of the gene of interest. |
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 % |
|---|---|---|
| Unknown | 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 2% |
| Switzerland | 1 | 2% |
| Unknown | 50 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 21% |
| Researcher | 11 | 21% |
| Student > Doctoral Student | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Student > Postgraduate | 4 | 8% |
| Other | 7 | 13% |
| Unknown | 10 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 50% |
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Social Sciences | 2 | 4% |
| Engineering | 2 | 4% |
| Chemistry | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 12 | 23% |
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 05 April 2016.
All research outputs
#15,366,818
of 22,860,626 outputs
Outputs from BMC Biotechnology
#668
of 935 outputs
Outputs of similar age
#105,067
of 164,412 outputs
Outputs of similar age from BMC Biotechnology
#9
of 14 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 7.8. 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 164,412 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.