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Mendeley readers
Attention Score in Context
| Title |
Evolution of substrate specificity in bacterial AA10 lytic polysaccharide monooxygenases
|
|---|---|
| Published in |
Biotechnology for Biofuels and Bioproducts, August 2014
|
| DOI | 10.1186/1754-6834-7-109 |
| Pubmed ID | |
| Authors |
Adam J Book, Ragothaman M Yennamalli, Taichi E Takasuka, Cameron R Currie, George N Phillips, Brian G Fox |
| Abstract |
Understanding the diversity of lignocellulose-degrading enzymes in nature will provide insights for the improvement of cellulolytic enzyme cocktails used in the biofuels industry. Two families of enzymes, fungal AA9 and bacterial AA10, have recently been characterized as crystalline cellulose or chitin-cleaving lytic polysaccharide monooxygenases (LPMOs). Here we analyze the sequences, structures, and evolution of LPMOs to understand the factors that may influence substrate specificity both within and between these enzyme families. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 2 | 1% |
| Netherlands | 1 | <1% |
| Indonesia | 1 | <1% |
| Australia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Mexico | 1 | <1% |
| Argentina | 1 | <1% |
| Unknown | 163 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 43 | 25% |
| Researcher | 29 | 17% |
| Student > Master | 28 | 16% |
| Student > Bachelor | 19 | 11% |
| Student > Doctoral Student | 9 | 5% |
| Other | 23 | 13% |
| Unknown | 20 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 60 | 35% |
| Agricultural and Biological Sciences | 50 | 29% |
| Chemistry | 20 | 12% |
| Engineering | 3 | 2% |
| Chemical Engineering | 2 | 1% |
| Other | 7 | 4% |
| Unknown | 29 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 January 2018.
All research outputs
#15,169,543
of 25,374,647 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#790
of 1,578 outputs
Outputs of similar age
#120,265
of 241,618 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#10
of 20 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 46th percentile – i.e., 46% 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 241,618 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.