You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Towards a metagenomic understanding on enhanced biomethane production from waste activated sludge after pH 10 pretreatment
|
|---|---|
| Published in |
Biotechnology for Biofuels and Bioproducts, March 2013
|
| DOI | 10.1186/1754-6834-6-38 |
| Pubmed ID | |
| Authors |
Mabel Ting Wong, Dong Zhang, Jun Li, Raymond Kin Hi Hui, Hein Min Tun, Manreetpal Singh Brar, Tae-Jin Park, Yinguang Chen, Frederick C Leung |
| Abstract |
Understanding the effects of pretreatment on anaerobic digestion of sludge waste from wastewater treatment plants is becoming increasingly important, as impetus moves towards the utilization of sludge for renewable energy production. Although the field of sludge pretreatment has progressed significantly over the past decade, critical questions concerning the underlying microbial interactions remain unanswered. In this study, a metagenomic approach was adopted to investigate the microbial composition and gene content contributing to enhanced biogas production from sludge subjected to a novel pretreatment method (maintaining pH at 10 for 8 days) compared to other documented methods (ultrasonic, thermal and thermal-alkaline). |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | <1% |
| Germany | 1 | <1% |
| Indonesia | 1 | <1% |
| Hong Kong | 1 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| Libya | 1 | <1% |
| China | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 129 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 20% |
| Researcher | 21 | 15% |
| Student > Master | 15 | 11% |
| Student > Bachelor | 14 | 10% |
| Other | 10 | 7% |
| Other | 26 | 19% |
| Unknown | 25 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 22% |
| Environmental Science | 21 | 15% |
| Biochemistry, Genetics and Molecular Biology | 18 | 13% |
| Engineering | 17 | 12% |
| Chemical Engineering | 6 | 4% |
| Other | 13 | 9% |
| Unknown | 34 | 24% |