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Expression and purification of the antimicrobial peptide GSL1 in bacteria for raising antibodies

Overview of attention for article published in BMC Research Notes, November 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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1 patent

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Title
Expression and purification of the antimicrobial peptide GSL1 in bacteria for raising antibodies
Published in
BMC Research Notes, November 2014
DOI 10.1186/1756-0500-7-777
Pubmed ID
Authors

Sathiyamoorthy Meiyalaghan, Julie M Latimer, Andrew V Kralicek, Martin L Shaw, John G Lewis, Anthony J Conner, Philippa J Barrell

Abstract

The Gibberellin Stimulated-Like (GSL) or Snakin peptides from higher plants are cysteine-rich, with broad spectrum activity against a range of bacterial and fungal pathogens. To detect GSL peptides in applications such as western blot analysis and enzyme-linked immunosorbent assays (ELISA), specific antibodies that recognise GSL peptides are required. However, the intrinsic antimicrobial activity of these peptides is likely to prevent their expression alone in bacterial or yeast expression systems for subsequent antibody production in animal hosts.

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 16%
Student > Ph. D. Student 7 14%
Researcher 5 10%
Student > Master 5 10%
Student > Doctoral Student 4 8%
Other 10 20%
Unknown 12 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 27%
Biochemistry, Genetics and Molecular Biology 9 18%
Immunology and Microbiology 3 6%
Computer Science 2 4%
Engineering 2 4%
Other 5 10%
Unknown 16 31%
Attention Score in Context

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 30 March 2017.
All research outputs
#6,943,717
of 22,769,322 outputs
Outputs from BMC Research Notes
#1,098
of 4,263 outputs
Outputs of similar age
#77,943
of 262,191 outputs
Outputs of similar age from BMC Research Notes
#18
of 110 outputs
Altmetric has tracked 22,769,322 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 4,263 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 262,191 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 110 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.