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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A simplified counter-selection recombineering protocol for creating fluorescent protein reporter constructs directly from C. elegans fosmid genomic clones
|
|---|---|
| Published in |
BMC Biotechnology, January 2013
|
| DOI | 10.1186/1472-6750-13-1 |
| Pubmed ID | |
| Authors |
Nisha Hirani, Marcel Westenberg, Minaxi S Gami, Paul Davis, Ian A Hope, Colin T Dolphin |
| Abstract |
Recombineering is a genetic engineering tool that enables facile modification of large episomal clones, e.g. BACs, fosmids. We have previously adapted this technology to generate, directly from fosmid-based genomic clones, fusion gene reporter constructs designed to investigate gene expression patterns in C. elegans. In our adaptation a rpsL-tet(A) positive/negative-selection cassette (RT-cassette) is first inserted and then, under negative selection, seamlessly replaced with the desired sequence. We report here on the generation and application of a resource comprising two sets of constructs designed to facilitate this particular recombineering approach. |
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 % |
|---|---|---|
| Nepal | 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 5% |
| Canada | 1 | 3% |
| Unknown | 34 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 32% |
| Student > Ph. D. Student | 6 | 16% |
| Student > Bachelor | 5 | 14% |
| Student > Master | 5 | 14% |
| Other | 3 | 8% |
| Other | 5 | 14% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 51% |
| Biochemistry, Genetics and Molecular Biology | 8 | 22% |
| Engineering | 2 | 5% |
| Unspecified | 1 | 3% |
| Environmental Science | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 2 | 5% |
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 03 January 2013.
All research outputs
#15,260,208
of 22,691,736 outputs
Outputs from BMC Biotechnology
#668
of 935 outputs
Outputs of similar age
#181,486
of 280,814 outputs
Outputs of similar age from BMC Biotechnology
#10
of 13 outputs
Altmetric has tracked 22,691,736 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 7.7. 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 280,814 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 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.