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Non-invasive quantification of the beta cell mass by SPECT with 111In-labelled exendin

Overview of attention for article published in Diabetologia, February 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

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1 X user
patent
14 patents

Citations

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127 Dimensions

Readers on

mendeley
88 Mendeley
Title
Non-invasive quantification of the beta cell mass by SPECT with 111In-labelled exendin
Published in
Diabetologia, February 2014
DOI 10.1007/s00125-014-3166-3
Pubmed ID
Authors

Maarten Brom, Wietske Woliner-van der Weg, Lieke Joosten, Cathelijne Frielink, Thomas Bouckenooghe, Paul Rijken, Karolina Andralojc, Burkhard J. Göke, Marion de Jong, Decio L. Eizirik, Martin Béhé, Tony Lahoutte, Wim J. G. Oyen, Cees J. Tack, Marcel Janssen, Otto C. Boerman, Martin Gotthardt

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Germany 2 2%
Denmark 1 1%
Netherlands 1 1%
Unknown 82 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 24%
Researcher 15 17%
Student > Master 13 15%
Professor 6 7%
Student > Bachelor 5 6%
Other 15 17%
Unknown 13 15%
Readers by discipline Count As %
Medicine and Dentistry 27 31%
Agricultural and Biological Sciences 14 16%
Chemistry 8 9%
Biochemistry, Genetics and Molecular Biology 5 6%
Engineering 3 3%
Other 13 15%
Unknown 18 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 October 2020.
All research outputs
#6,939,118
of 22,753,345 outputs
Outputs from Diabetologia
#2,702
of 5,032 outputs
Outputs of similar age
#83,641
of 307,264 outputs
Outputs of similar age from Diabetologia
#14
of 47 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 5,032 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.6. This one is in the 45th percentile – i.e., 45% 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 307,264 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 71% of its contemporaries.
We're also able to compare this research output to 47 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 70% of its contemporaries.