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GLP-1/glucagon receptor co-agonism for treatment of obesity

Overview of attention for article published in Diabetologia, July 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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
twitter
115 X users
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
131 Dimensions

Readers on

mendeley
138 Mendeley
Title
GLP-1/glucagon receptor co-agonism for treatment of obesity
Published in
Diabetologia, July 2017
DOI 10.1007/s00125-017-4354-8
Pubmed ID
Authors

Miguel A. Sánchez-Garrido, Sara J. Brandt, Christoffer Clemmensen, Timo D. Müller, Richard D. DiMarchi, Matthias H. Tschöp

Abstract

Over a relatively short period, obesity and type 2 diabetes have come to represent a large medical and economic burden to global societies. The epidemic rise in the prevalence of obesity has metabolic consequences and is paralleled by an increased occurrence of other diseases, such as diabetes, cancer and cardiovascular complications. Together, obesity and type 2 diabetes constitute one of the more preventable causes of premature death and the identification of novel, safe and effective anti-obesity drugs is of utmost importance. Pharmacological attempts to treat obesity have had limited success, with notable adverse effects, rendering bariatric surgery as the only current therapy for substantially improving body weight. Novel unimolecular, multifunctional peptides have emerged as one of the most promising medicinal approaches to enhance metabolic efficacy and restore normal body weight. In this review, we will mainly focus on the discovery and translational relevance of dual agonists that pharmacologically function at the receptors for glucagon and glucagon-like peptide-1. Such peptides have advanced to clinical evaluation and inspired the pursuit of multiple related approaches to achieving polypharmacy within single molecules.

X Demographics

X Demographics

The data shown below were collected from the profiles of 115 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 138 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 15%
Student > Bachelor 19 14%
Student > Ph. D. Student 17 12%
Other 12 9%
Student > Master 11 8%
Other 20 14%
Unknown 38 28%
Readers by discipline Count As %
Medicine and Dentistry 35 25%
Biochemistry, Genetics and Molecular Biology 14 10%
Pharmacology, Toxicology and Pharmaceutical Science 12 9%
Agricultural and Biological Sciences 10 7%
Neuroscience 4 3%
Other 19 14%
Unknown 44 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 76. 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 16 November 2023.
All research outputs
#571,109
of 25,732,188 outputs
Outputs from Diabetologia
#281
of 5,376 outputs
Outputs of similar age
#11,757
of 325,581 outputs
Outputs of similar age from Diabetologia
#13
of 87 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.7. This one has done particularly well, scoring higher than 94% 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 325,581 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 96% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.