↓ Skip to main content

N-glycosylation patterns of plasma proteins and immunoglobulin G in chronic obstructive pulmonary disease

Overview of attention for article published in Journal of Translational Medicine, November 2018
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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
13 X users
patent
1 patent

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
38 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
N-glycosylation patterns of plasma proteins and immunoglobulin G in chronic obstructive pulmonary disease
Published in
Journal of Translational Medicine, November 2018
DOI 10.1186/s12967-018-1695-0
Pubmed ID
Authors

Tamara Pavić, Dario Dilber, Domagoj Kifer, Najda Selak, Toma Keser, Đivo Ljubičić, Andrea Vukić Dugac, Gordan Lauc, Lada Rumora, Olga Gornik

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Student > Master 6 16%
Researcher 6 16%
Student > Postgraduate 2 5%
Student > Doctoral Student 2 5%
Other 2 5%
Unknown 12 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 32%
Medicine and Dentistry 10 26%
Nursing and Health Professions 1 3%
Unspecified 1 3%
Computer Science 1 3%
Other 1 3%
Unknown 12 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 29 February 2024.
All research outputs
#3,721,914
of 25,508,813 outputs
Outputs from Journal of Translational Medicine
#672
of 4,668 outputs
Outputs of similar age
#79,590
of 446,925 outputs
Outputs of similar age from Journal of Translational Medicine
#11
of 108 outputs
Altmetric has tracked 25,508,813 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,668 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 85% 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 446,925 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 82% of its contemporaries.
We're also able to compare this research output to 108 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 90% of its contemporaries.