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Genome-scale analysis of the high-efficient protein secretion system of Aspergillus oryzae

Overview of attention for article published in BMC Systems Biology, June 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

twitter
2 tweeters
patent
1 patent

Citations

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26 Dimensions

Readers on

mendeley
102 Mendeley
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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.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 102 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 92 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 20%
Researcher 18 18%
Student > Master 13 13%
Student > Bachelor 11 11%
Professor > Associate Professor 9 9%
Other 19 19%
Unknown 12 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 42 41%
Biochemistry, Genetics and Molecular Biology 27 26%
Engineering 9 9%
Computer Science 3 3%
Chemistry 2 2%
Other 2 2%
Unknown 17 17%

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
#6,307,811
of 21,366,128 outputs
Outputs from BMC Systems Biology
#249
of 1,141 outputs
Outputs of similar age
#62,823
of 224,206 outputs
Outputs of similar age from BMC Systems Biology
#1
of 1 outputs
Altmetric has tracked 21,366,128 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,141 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 77% 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 224,206 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 71% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them