| Title |
Insights into metabolic disease from studying genetics in isolated populations: stories from Greece to Greenland
|
|---|---|
| Published in |
Diabetologia, March 2016
|
| DOI | 10.1007/s00125-016-3926-3 |
| Pubmed ID | |
| Authors |
Eleftheria Zeggini, Anna L. Gloyn, Torben Hansen |
| Abstract |
Over the last 10 years substantial progress has been made in our understanding of the genetic basis for type 2 diabetes and related traits. These developments have been facilitated by technological advancements that have allowed comprehensive genome-wide assessments of the impact of common genetic variation on disease risk. Current efforts are now focused on extending this to genetic variants in the rare and low-frequency spectrum by capitalising on next-generation sequencing technologies. This review discusses the important contributions that studies in isolated populations are making to this effort for diabetes and metabolic disease, drawing on specific examples from populations in Greece and Greenland. This review summarises a presentation given at the 'Exciting news in genetics of diabetes' symposium at the 2015 annual meeting of the EASD, with topics presented by Eleftheria Zeggini and Torben Hansen, and an overview by the Session Chair, Anna Gloyn. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 25% |
| Qatar | 1 | 8% |
| Denmark | 1 | 8% |
| Russia | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 50% |
| Scientists | 6 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 28 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 20% |
| Researcher | 6 | 20% |
| Student > Master | 6 | 20% |
| Librarian | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 33% |
| Biochemistry, Genetics and Molecular Biology | 7 | 23% |
| Medicine and Dentistry | 4 | 13% |
| Business, Management and Accounting | 2 | 7% |
| Nursing and Health Professions | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 4 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 08 December 2019.
All research outputs
#5,336,978
of 25,196,456 outputs
Outputs from Diabetologia
#2,194
of 5,330 outputs
Outputs of similar age
#76,453
of 307,183 outputs
Outputs of similar age from Diabetologia
#34
of 86 outputs
Altmetric has tracked 25,196,456 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,330 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 gotten more attention than average, scoring higher than 58% of its peers.
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We're also able to compare this research output to 86 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 59% of its contemporaries.