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Mendeley readers
Attention Score in Context
Title |
Genome-scale analysis of the high-efficient protein secretion system of Aspergillus oryzae
|
---|---|
Published in |
BMC Systems Biology, June 2014
|
DOI | 10.1186/1752-0509-8-73 |
Pubmed ID | |
Authors |
Lifang Liu, Amir Feizi, Tobias Österlund, Carsten Hjort, Jens Nielsen |
Abstract |
The koji mold, Aspergillus oryzae is widely used for the production of industrial enzymes due to its particularly high protein secretion capacity and ability to perform post-translational modifications. However, systemic analysis of its secretion system is lacking, generally due to the poorly annotated proteome. |
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 % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 3% |
France | 2 | 2% |
Germany | 1 | <1% |
Sweden | 1 | <1% |
Chile | 1 | <1% |
Spain | 1 | <1% |
Denmark | 1 | <1% |
Unknown | 105 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 17% |
Researcher | 18 | 16% |
Student > Master | 15 | 13% |
Student > Bachelor | 11 | 10% |
Professor > Associate Professor | 9 | 8% |
Other | 22 | 19% |
Unknown | 20 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 42 | 37% |
Biochemistry, Genetics and Molecular Biology | 29 | 25% |
Engineering | 9 | 8% |
Computer Science | 3 | 3% |
Unspecified | 2 | 2% |
Other | 5 | 4% |
Unknown | 25 | 22% |
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 18 May 2022.
All research outputs
#7,485,767
of 24,133,587 outputs
Outputs from BMC Systems Biology
#272
of 1,134 outputs
Outputs of similar age
#68,805
of 232,526 outputs
Outputs of similar age from BMC Systems Biology
#3
of 26 outputs
Altmetric has tracked 24,133,587 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,134 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 73% 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 232,526 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 69% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.