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Antibodies to post-translationally modified insulin as a novel biomarker for prediction of type 1 diabetes in children

Overview of attention for article published in Diabetologia, May 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
14 X users
patent
1 patent
f1000
1 research highlight platform

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
68 Mendeley
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Title
Antibodies to post-translationally modified insulin as a novel biomarker for prediction of type 1 diabetes in children
Published in
Diabetologia, May 2017
DOI 10.1007/s00125-017-4296-1
Pubmed ID
Authors

Rocky Strollo, Chiara Vinci, Nicola Napoli, Paolo Pozzilli, Johnny Ludvigsson, Ahuva Nissim

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 21%
Researcher 10 15%
Student > Bachelor 8 12%
Student > Postgraduate 5 7%
Other 4 6%
Other 8 12%
Unknown 19 28%
Readers by discipline Count As %
Medicine and Dentistry 18 26%
Biochemistry, Genetics and Molecular Biology 9 13%
Immunology and Microbiology 5 7%
Agricultural and Biological Sciences 5 7%
Nursing and Health Professions 2 3%
Other 10 15%
Unknown 19 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 15 February 2024.
All research outputs
#1,160,231
of 25,385,509 outputs
Outputs from Diabetologia
#621
of 5,346 outputs
Outputs of similar age
#22,792
of 325,249 outputs
Outputs of similar age from Diabetologia
#13
of 64 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,346 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.6. 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 325,249 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.