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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Inference of phenotype-defining functional modules of protein families for microbial plant biomass degraders
|
|---|---|
| Published in |
Biotechnology for Biofuels and Bioproducts, September 2014
|
| DOI | 10.1186/s13068-014-0124-8 |
| Pubmed ID | |
| Authors |
Sebastian GA Konietzny, Phillip B Pope, Aaron Weimann, Alice C McHardy |
| Abstract |
Efficient industrial processes for converting plant lignocellulosic materials into biofuels are a key to global efforts to come up with alternative energy sources to fossil fuels. Novel cellulolytic enzymes have been discovered in microbial genomes and metagenomes of microbial communities. However, the identification of relevant genes without known homologs, and the elucidation of the lignocellulolytic pathways and protein complexes for different microorganisms remain challenging. |
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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 46 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 31% |
| Researcher | 13 | 27% |
| Other | 4 | 8% |
| Student > Master | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 2 | 4% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 42% |
| Biochemistry, Genetics and Molecular Biology | 8 | 17% |
| Engineering | 4 | 8% |
| Environmental Science | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 8 | 17% |
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 25 October 2014.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#1,416
of 1,578 outputs
Outputs of similar age
#214,154
of 249,806 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#21
of 24 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 249,806 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.