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X Demographics
Mendeley readers
Attention Score in Context
Title |
Discovery and characterization of a highly efficient enantioselective mandelonitrile hydrolase from Burkholderia cenocepacia J2315 by phylogeny-based enzymatic substrate specificity prediction
|
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Published in |
BMC Biotechnology, February 2013
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DOI | 10.1186/1472-6750-13-14 |
Pubmed ID | |
Authors |
Hualei Wang, Huihui Sun, Dongzhi Wei |
Abstract |
A nitrilase-mediated pathway has significant advantages in the production of optically pure (R)-(-)-mandelic acid. However, unwanted byproduct, low enantioselectivity, and specific activity reduce its value in practical applications. An ideal nitrilase that can efficiently hydrolyze mandelonitrile to optically pure (R)-(-)-mandelic acid without the unwanted byproduct is needed. |
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 % |
---|---|---|
India | 1 | 3% |
Unknown | 36 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 46% |
Student > Master | 5 | 14% |
Researcher | 4 | 11% |
Other | 2 | 5% |
Student > Doctoral Student | 1 | 3% |
Other | 4 | 11% |
Unknown | 4 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 32% |
Biochemistry, Genetics and Molecular Biology | 10 | 27% |
Chemistry | 6 | 16% |
Arts and Humanities | 1 | 3% |
Immunology and Microbiology | 1 | 3% |
Other | 1 | 3% |
Unknown | 6 | 16% |
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 18 February 2013.
All research outputs
#15,263,666
of 22,696,971 outputs
Outputs from BMC Biotechnology
#668
of 935 outputs
Outputs of similar age
#121,044
of 192,548 outputs
Outputs of similar age from BMC Biotechnology
#11
of 18 outputs
Altmetric has tracked 22,696,971 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 192,548 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.