Title |
Semantic text mining support for lignocellulose research
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, April 2012
|
DOI | 10.1186/1472-6947-12-s1-s5 |
Pubmed ID | |
Authors |
Marie-Jean Meurs, Caitlin Murphy, Ingo Morgenstern, Greg Butler, Justin Powlowski, Adrian Tsang, René Witte |
Abstract |
Biofuels produced from biomass are considered to be promising sustainable alternatives to fossil fuels. The conversion of lignocellulose into fermentable sugars for biofuels production requires the use of enzyme cocktails that can efficiently and economically hydrolyze lignocellulosic biomass. As many fungi naturally break down lignocellulose, the identification and characterization of the enzymes involved is a key challenge in the research and development of biomass-derived products and fuels. One approach to meeting this challenge is to mine the rapidly-expanding repertoire of microbial genomes for enzymes with the appropriate catalytic properties. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 33% |
Sweden | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 2% |
China | 1 | 2% |
Italy | 1 | 2% |
Luxembourg | 1 | 2% |
Unknown | 53 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 23% |
Student > Master | 9 | 16% |
Researcher | 8 | 14% |
Student > Bachelor | 5 | 9% |
Professor > Associate Professor | 4 | 7% |
Other | 9 | 16% |
Unknown | 9 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 17 | 30% |
Agricultural and Biological Sciences | 12 | 21% |
Engineering | 4 | 7% |
Business, Management and Accounting | 3 | 5% |
Environmental Science | 3 | 5% |
Other | 8 | 14% |
Unknown | 10 | 18% |