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Mendeley readers
Attention Score in Context
| Title |
Cellulases: ambiguous nonhomologous enzymes in a genomic perspective
|
|---|---|
| Published in |
Trends in Biotechnology, June 2011
|
| DOI | 10.1016/j.tibtech.2011.04.008 |
| Pubmed ID | |
| Authors |
Leonid O. Sukharnikov, Brian J. Cantwell, Mircea Podar, Igor B. Zhulin |
| Abstract |
The key material for bioethanol production is cellulose, which is one of the main components of the plant cell wall. Enzymatic depolymerization of cellulose is an essential step in bioethanol production, and can be accomplished by fungal and bacterial cellulases. Most of the biochemically characterized bacterial cellulases come from only a few cellulose-degrading bacteria, thus limiting our knowledge of a range of cellulolytic activities that exist in nature. The recent explosion of genomic data offers a unique opportunity to search for novel cellulolytic activities; however, the absence of clear understanding of structural and functional features that are important for reliable computational identification of cellulases precludes their exploration in the genomic datasets. Here, we explore the diversity of cellulases and propose a genomic approach to overcome this bottleneck. |
Mendeley readers
The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 4 | 2% |
| United States | 3 | 1% |
| Uruguay | 1 | <1% |
| South Africa | 1 | <1% |
| Brazil | 1 | <1% |
| Argentina | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 199 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 53 | 25% |
| Researcher | 43 | 20% |
| Student > Master | 31 | 15% |
| Student > Bachelor | 17 | 8% |
| Student > Doctoral Student | 15 | 7% |
| Other | 32 | 15% |
| Unknown | 20 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 100 | 47% |
| Biochemistry, Genetics and Molecular Biology | 38 | 18% |
| Engineering | 10 | 5% |
| Immunology and Microbiology | 7 | 3% |
| Chemistry | 7 | 3% |
| Other | 19 | 9% |
| Unknown | 30 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 December 2017.
All research outputs
#7,356,343
of 25,374,647 outputs
Outputs from Trends in Biotechnology
#1,607
of 2,856 outputs
Outputs of similar age
#37,353
of 117,152 outputs
Outputs of similar age from Trends in Biotechnology
#24
of 30 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,856 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one is in the 42nd percentile – i.e., 42% 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 117,152 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.