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Mendeley readers
Attention Score in Context
Title |
Patch cloning method for multiple site-directed and saturation mutagenesis
|
---|---|
Published in |
BMC Biotechnology, October 2013
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DOI | 10.1186/1472-6750-13-91 |
Pubmed ID | |
Authors |
Naohiro Taniguchi, Sayumi Nakayama, Takashi Kawakami, Hiroshi Murakami |
Abstract |
Various DNA manipulation methods have been developed to prepare mutant genes for protein engineering. However, development of more efficient and convenient method is still demanded. Homologous DNA assembly methods, which do not depend on restriction enzymes, have been used as convenient tools for cloning and have been applied to site-directed mutagenesis recently. This study describes an optimized homologous DNA assembly method, termed as multiple patch cloning (MUPAC), for multiple site-directed and saturation mutagenesis. |
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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 2% |
United States | 2 | 2% |
China | 1 | 1% |
Unknown | 83 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 25 | 28% |
Student > Ph. D. Student | 22 | 25% |
Student > Bachelor | 12 | 14% |
Student > Master | 11 | 13% |
Other | 4 | 5% |
Other | 8 | 9% |
Unknown | 6 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 39 | 44% |
Biochemistry, Genetics and Molecular Biology | 22 | 25% |
Chemistry | 9 | 10% |
Engineering | 4 | 5% |
Immunology and Microbiology | 2 | 2% |
Other | 6 | 7% |
Unknown | 6 | 7% |
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 31 October 2013.
All research outputs
#18,353,475
of 22,729,647 outputs
Outputs from BMC Biotechnology
#762
of 935 outputs
Outputs of similar age
#158,118
of 212,671 outputs
Outputs of similar age from BMC Biotechnology
#20
of 21 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 9th percentile – i.e., 9% 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 212,671 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.