↓ Skip to main content

ASBMB

Meta-heterogeneity: Evaluating and Describing the Diversity in Glycosylation Between Sites on the Same Glycoprotein

Overview of attention for article published in Molecular and Cellular Proteomics, January 2021
Altmetric Badge

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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
25 X users

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
84 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Meta-heterogeneity: Evaluating and Describing the Diversity in Glycosylation Between Sites on the Same Glycoprotein
Published in
Molecular and Cellular Proteomics, January 2021
DOI 10.1074/mcp.r120.002093
Pubmed ID
Authors

Tomislav Čaval, Albert J.R. Heck, Karli R. Reiding

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Researcher 10 12%
Student > Master 8 10%
Other 7 8%
Student > Doctoral Student 5 6%
Other 7 8%
Unknown 29 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 23%
Chemistry 8 10%
Agricultural and Biological Sciences 7 8%
Medicine and Dentistry 5 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 12 14%
Unknown 30 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 11 March 2022.
All research outputs
#2,321,099
of 24,410,879 outputs
Outputs from Molecular and Cellular Proteomics
#357
of 3,139 outputs
Outputs of similar age
#63,009
of 512,123 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#53
of 182 outputs
Altmetric has tracked 24,410,879 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 3,139 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 88% 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 512,123 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 87% of its contemporaries.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.