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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Formulation of enzyme blends to maximize the hydrolysis of alkaline peroxide pretreated alfalfa hay and barley straw by rumen enzymes and commercial cellulases
|
|---|---|
| Published in |
BMC Biotechnology, April 2014
|
| DOI | 10.1186/1472-6750-14-31 |
| Pubmed ID | |
| Authors |
Ajay Badhan, Yuxi Wang, Robert Gruninger, Donald Patton, Justin Powlowski, Adrian Tsang, Tim McAllister |
| Abstract |
Efficient conversion of lignocellulosic biomass to fermentable sugars requires the synergistic action of multiple enzymes; consequently enzyme mixtures must be properly formulated for effective hydrolysis. The nature of an optimal enzyme blends depends on the type of pretreatment employed as well the characteristics of the substrate. In this study, statistical experimental design was used to develop mixtures of recombinant glycosyl hydrolases from thermophilic and anaerobic fungi that enhanced the digestion of alkaline peroxide treated alfalfa hay and barley straw by mixed rumen enzymes as well as commercial cellulases (Accelerase 1500, A1500; Accelerase XC, AXC). |
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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Sweden | 1 | 1% |
| Czechia | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 67 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 20% |
| Student > Master | 10 | 14% |
| Researcher | 8 | 11% |
| Student > Doctoral Student | 8 | 11% |
| Student > Bachelor | 3 | 4% |
| Other | 12 | 17% |
| Unknown | 16 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 35% |
| Biochemistry, Genetics and Molecular Biology | 13 | 18% |
| Engineering | 5 | 7% |
| Chemistry | 5 | 7% |
| Chemical Engineering | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 17 | 24% |
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 26 April 2014.
All research outputs
#18,371,293
of 22,754,104 outputs
Outputs from BMC Biotechnology
#763
of 935 outputs
Outputs of similar age
#163,943
of 226,896 outputs
Outputs of similar age from BMC Biotechnology
#21
of 25 outputs
Altmetric has tracked 22,754,104 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 226,896 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.