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Multiple gene copy number enhances insulin precursor secretion in the yeast Pichia pastoris

Overview of attention for article published in Biotechnology Techniques, March 2005
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

patent
6 patents

Citations

dimensions_citation
78 Dimensions

Readers on

mendeley
122 Mendeley
Title
Multiple gene copy number enhances insulin precursor secretion in the yeast Pichia pastoris
Published in
Biotechnology Techniques, March 2005
DOI 10.1007/s10529-005-1007-7
Pubmed ID
Authors

Manuel Mansur, Cecilia Cabello, Lester Hernández, José País, Laura Varas, Jorge Valdés, Yanet Terrero, Abdel Hidalgo, Liuba Plana, Vladimir Besada, Liudys García, Emilio Lamazares, Lila Castellanos, Eduardo Martínez

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Germany 1 <1%
Unknown 120 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 20%
Student > Master 23 19%
Student > Ph. D. Student 22 18%
Student > Bachelor 14 11%
Student > Postgraduate 7 6%
Other 14 11%
Unknown 18 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 32%
Biochemistry, Genetics and Molecular Biology 35 29%
Engineering 8 7%
Chemical Engineering 5 4%
Immunology and Microbiology 3 2%
Other 12 10%
Unknown 20 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 05 October 2021.
All research outputs
#3,802,325
of 25,394,764 outputs
Outputs from Biotechnology Techniques
#97
of 2,763 outputs
Outputs of similar age
#7,512
of 76,656 outputs
Outputs of similar age from Biotechnology Techniques
#2
of 26 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,763 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 91% 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 76,656 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 86% 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.