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Serum kidney injury molecule 1 and β2-microglobulin perform as well as larger biomarker panels for prediction of rapid decline in renal function in type 2 diabetes

Overview of attention for article published in Diabetologia, October 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)

Mentioned by

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9 X users

Citations

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53 Dimensions

Readers on

mendeley
56 Mendeley
citeulike
1 CiteULike
Title
Serum kidney injury molecule 1 and β2-microglobulin perform as well as larger biomarker panels for prediction of rapid decline in renal function in type 2 diabetes
Published in
Diabetologia, October 2018
DOI 10.1007/s00125-018-4741-9
Pubmed ID
Authors

Marco Colombo, Helen C. Looker, Bassam Farran, Sibylle Hess, Leif Groop, Colin N. A. Palmer, Mary Julia Brosnan, R. Neil Dalton, Max Wong, Charles Turner, Emma Ahlqvist, David Dunger, Felix Agakov, Paul Durrington, Shona Livingstone, John Betteridge, Paul M. McKeigue, Helen M. Colhoun

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 18%
Student > Master 7 13%
Researcher 5 9%
Student > Postgraduate 4 7%
Student > Bachelor 3 5%
Other 11 20%
Unknown 16 29%
Readers by discipline Count As %
Medicine and Dentistry 18 32%
Biochemistry, Genetics and Molecular Biology 5 9%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Agricultural and Biological Sciences 4 7%
Unspecified 2 4%
Other 7 13%
Unknown 16 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 12 October 2018.
All research outputs
#7,455,082
of 26,017,215 outputs
Outputs from Diabetologia
#3,035
of 5,621 outputs
Outputs of similar age
#122,912
of 358,946 outputs
Outputs of similar age from Diabetologia
#50
of 64 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 5,621 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.1. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 358,946 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% 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 is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.