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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fungal genomes mining to discover novel sterol esterases and lipases as catalysts
|
|---|---|
| Published in |
BMC Genomics, October 2013
|
| DOI | 10.1186/1471-2164-14-712 |
| Pubmed ID | |
| Authors |
Jorge Barriuso, Alicia Prieto, Maria Jesus Martínez |
| Abstract |
Sterol esterases and lipases are enzymes able to efficiently catalyze synthesis and hydrolysis reactions of both sterol esters and triglycerides and due to their versatility could be widely used in different industrial applications. Lipases with this ability have been reported in the yeast Candida rugosa that secretes several extracellular enzymes with a high level of sequence identity, although different substrate specificity. This versatility has also been found in the sterol esterases from the ascomycetes Ophiostoma piceae and Melanocarpus albomyces. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Unknown | 44 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 29% |
| Student > Ph. D. Student | 9 | 20% |
| Student > Master | 8 | 18% |
| Student > Doctoral Student | 4 | 9% |
| Student > Bachelor | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 5 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 29% |
| Biochemistry, Genetics and Molecular Biology | 12 | 27% |
| Environmental Science | 4 | 9% |
| Chemical Engineering | 3 | 7% |
| Computer Science | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 7 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 15 October 2020.
All research outputs
#4,090,185
of 22,727,570 outputs
Outputs from BMC Genomics
#1,698
of 10,628 outputs
Outputs of similar age
#38,575
of 211,746 outputs
Outputs of similar age from BMC Genomics
#15
of 147 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,628 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 83% 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 211,746 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 81% of its contemporaries.
We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.