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Cross-platform comparison of glycan microarray formats

Overview of attention for article published in Glycobiology, March 2014
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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2 patents
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1 Wikipedia page

Citations

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111 Dimensions

Readers on

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87 Mendeley
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Title
Cross-platform comparison of glycan microarray formats
Published in
Glycobiology, March 2014
DOI 10.1093/glycob/cwu019
Pubmed ID
Authors

Linlin Wang, Richard D Cummings, David F Smith, Margaret Huflejt, Christopher T Campbell, Jeffrey C Gildersleeve, Jared Q Gerlach, Michelle Kilcoyne, Lokesh Joshi, Sonia Serna, Niels-Christian Reichardt, Núria Parera Pera, Roland J Pieters, William Eng, Lara K Mahal

Abstract

Carbohydrates participate in almost every aspect of biology from protein sorting to modulating cell differentiation and cell-cell interactions. To date, the majority of data gathered on glycan expression has been obtained via analysis with either anti-glycan antibodies or lectins. A detailed understanding of the specificities of these reagents is critical to the analysis of carbohydrates in biological systems. Glycan microarrays are increasingly used to determine the binding specificity of glycan-binding proteins (GBPs). In this study, six different glycan microarray platforms with different modes of glycan presentation were compared using five well-known lectins; concanavalin A, Helix pomatia agglutinin, Maackia amurensis lectin I, Sambucus nigra agglutinin and wheat germ agglutinin. A new method (universal threshold) was developed to facilitate systematic comparisons across distinct array platforms. The strongest binders of each lectin were identified using the universal threshold across all platforms while identification of weaker binders was influenced by platform-specific factors including presentation of determinants, array composition and self-reported thresholding methods. This work compiles a rich dataset for comparative analysis of glycan array platforms and has important implications for the implementation of microarrays in the characterization of GBPs.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
China 1 1%
Brazil 1 1%
Unknown 84 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 29%
Researcher 19 22%
Student > Doctoral Student 7 8%
Student > Bachelor 6 7%
Professor 4 5%
Other 15 17%
Unknown 11 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 31%
Agricultural and Biological Sciences 20 23%
Chemistry 16 18%
Immunology and Microbiology 7 8%
Computer Science 1 1%
Other 5 6%
Unknown 11 13%
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 30 January 2024.
All research outputs
#3,772,714
of 25,323,244 outputs
Outputs from Glycobiology
#237
of 2,084 outputs
Outputs of similar age
#35,818
of 230,897 outputs
Outputs of similar age from Glycobiology
#2
of 14 outputs
Altmetric has tracked 25,323,244 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,084 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 230,897 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 83% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.