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Growth and Risk for Islet Autoimmunity and Progression to Type 1 Diabetes in Early Childhood: The Environmental Determinants of Diabetes in the Young Study

Overview of attention for article published in Diabetes, March 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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2 news outlets
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6 X users
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2 Facebook pages
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1 Redditor

Citations

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47 Dimensions

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44 Mendeley
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Title
Growth and Risk for Islet Autoimmunity and Progression to Type 1 Diabetes in Early Childhood: The Environmental Determinants of Diabetes in the Young Study
Published in
Diabetes, March 2016
DOI 10.2337/db15-1180
Pubmed ID
Authors

Helena Elding Larsson, Kendra Vehik, Michael J. Haller, Xiang Liu, Beena Akolkar, William Hagopian, Jeffrey Krischer, Åke Lernmark, Jin-Xiong She, Olli Simell, Jorma Toppari, Anette-G. Ziegler, Marian Rewers

Abstract

Increased growth in early childhood has been suggested to increase the risk of type 1 diabetes. This study explored the relationship between weight, height and development of persistent islet autoimmunity and progression to type 1 diabetes during the first 4 years of life in 7,468 children at genetic risk of type 1 diabetes, followed in Finland, Germany, Sweden and US. Growth data collected every third month were used to estimate individual growth curves using mixed models. Cox proportional hazards models were used to evaluate the body size and risk of islet autoimmunity and T1D. In the overall cohort, development of islet autoimmunity (n=575) was related to weight z-scores at 12 months, (HR 1.16 per 1.14 kg in males or per 1.02 kg in females; 95%CI 1.06-1.27, p<0.001, FDR=0.008), but not at 24 or 36 months. A similar relationship was seen between weight z-scores and development of multiple islet autoantibodies (1 year, HR 1.21 95%CI 1.08-1.35, p=0.001, FDR=0.008; 2 years, HR 1.18 95% CI 1.06-1.32, p=0.004, FDR=0.02). No association was found between weight or height and type 1 diabetes (n=169). In conclusion, greater weight in the first years of life was associated with an increased risk of development of islet autoimmunity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 14%
Researcher 6 14%
Student > Bachelor 5 11%
Student > Master 4 9%
Student > Doctoral Student 3 7%
Other 10 23%
Unknown 10 23%
Readers by discipline Count As %
Medicine and Dentistry 18 41%
Nursing and Health Professions 4 9%
Biochemistry, Genetics and Molecular Biology 3 7%
Mathematics 2 5%
Agricultural and Biological Sciences 2 5%
Other 6 14%
Unknown 9 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 24 June 2016.
All research outputs
#1,511,084
of 22,856,968 outputs
Outputs from Diabetes
#658
of 9,210 outputs
Outputs of similar age
#27,281
of 300,567 outputs
Outputs of similar age from Diabetes
#16
of 120 outputs
Altmetric has tracked 22,856,968 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,210 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has done particularly well, scoring higher than 92% 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 300,567 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 90% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.