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Pretreatment methods of lignocellulosic biomass for anaerobic digestion

Overview of attention for article published in AMB Express, March 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
343 Dimensions

Readers on

mendeley
1068 Mendeley
Title
Pretreatment methods of lignocellulosic biomass for anaerobic digestion
Published in
AMB Express, March 2017
DOI 10.1186/s13568-017-0375-4
Pubmed ID
Authors

Farrukh Raza Amin, Habiba Khalid, Han Zhang, Sajid u Rahman, Ruihong Zhang, Guangqing Liu, Chang Chen

Abstract

Agricultural residues, such as lignocellulosic materials (LM), are the most attractive renewable bioenergy sources and are abundantly found in nature. Anaerobic digestion has been extensively studied for the effective utilization of LM for biogas production. Experimental investigation of physiochemical changes that occur during pretreatment is needed for developing mechanistic and effective models that can be employed for the rational design of pretreatment processes. Various-cutting edge pretreatment technologies (physical, chemical and biological) are being tested on the pilot scale. These different pretreatment methods are widely described in this paper, among them, microaerobic pretreatment (MP) has gained attention as a potential pretreatment method for the degradation of LM, which just requires a limited amount of oxygen (or air) supplied directly during the pretreatment step. MP involves microbial communities under mild conditions (temperature and pressure), uses fewer enzymes and less energy for methane production, and is probably the most promising and environmentally friendly technique in the long run. Moreover, it is technically and economically feasible to use microorganisms instead of expensive chemicals, biological enzymes or mechanical equipment. The information provided in this paper, will endow readers with the background knowledge necessary for finding a promising solution to methane production.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,068 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 1067 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 169 16%
Student > Master 140 13%
Student > Ph. D. Student 137 13%
Researcher 80 7%
Student > Doctoral Student 41 4%
Other 128 12%
Unknown 373 35%
Readers by discipline Count As %
Chemical Engineering 127 12%
Engineering 112 10%
Agricultural and Biological Sciences 92 9%
Biochemistry, Genetics and Molecular Biology 83 8%
Environmental Science 79 7%
Other 155 15%
Unknown 420 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 20 December 2017.
All research outputs
#3,844,225
of 23,660,680 outputs
Outputs from AMB Express
#65
of 1,256 outputs
Outputs of similar age
#67,289
of 309,577 outputs
Outputs of similar age from AMB Express
#4
of 58 outputs
Altmetric has tracked 23,660,680 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,256 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 94% of its peers.
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 309,577 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.