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Mass spectrometry-based analysis of glycoproteins and its clinical applications in cancer biomarker discovery

Overview of attention for article published in Clinical Proteomics, April 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#16 of 281)
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
126 Mendeley
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Title
Mass spectrometry-based analysis of glycoproteins and its clinical applications in cancer biomarker discovery
Published in
Clinical Proteomics, April 2014
DOI 10.1186/1559-0275-11-14
Pubmed ID
Authors

Huan Liu, Ningbo Zhang, Debin Wan, Meng Cui, Zhiqiang Liu, Shuying Liu

Abstract

Glycosylation is one of the most important posttranslational modifications of proteins and plays essential roles in various biological processes. Aberration in the glycan moieties of glycoproteins is associated with many diseases. It is especially critical to develop the rapid and sensitive methods for analysis of aberrant glycoproteins associated with diseases. Mass spectrometry (MS) has become a powerful tool for glycoprotein analysis. Especially, tandem mass spectrometry can provide highly informative fragments for structural identification of glycoproteins. This review provides an overview of the development of MS technologies and their applications in identification of abnormal glycoproteins and glycans in human serum to screen cancer biomarkers in recent years.

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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Mexico 1 <1%
Germany 1 <1%
Canada 1 <1%
Unknown 122 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 22%
Student > Master 19 15%
Student > Bachelor 16 13%
Researcher 14 11%
Student > Doctoral Student 8 6%
Other 15 12%
Unknown 26 21%
Readers by discipline Count As %
Chemistry 32 25%
Agricultural and Biological Sciences 25 20%
Biochemistry, Genetics and Molecular Biology 16 13%
Medicine and Dentistry 10 8%
Engineering 5 4%
Other 11 9%
Unknown 27 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 25 April 2022.
All research outputs
#2,129,243
of 22,753,345 outputs
Outputs from Clinical Proteomics
#16
of 281 outputs
Outputs of similar age
#23,009
of 228,162 outputs
Outputs of similar age from Clinical Proteomics
#1
of 8 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 93% 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 228,162 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 89% of its contemporaries.
We're also able to compare this research output to 8 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