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Multivariate epidemiologic analysis of type 2 diabetes mellitus risks in the Lebanese population

Overview of attention for article published in Diabetology & Metabolic Syndrome, January 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

policy
1 policy source
twitter
3 tweeters

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
43 Mendeley
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Title
Multivariate epidemiologic analysis of type 2 diabetes mellitus risks in the Lebanese population
Published in
Diabetology & Metabolic Syndrome, January 2014
DOI 10.1186/1758-5996-6-89
Pubmed ID
Authors

Michella Ghassibe-Sabbagh, Mary Deeb, Angelique K Salloum, Francis Mouzaya, Marc Haber, Yasser Al-Sarraj, Youssef Chami, Yasmine Akle, Kamal Hirbli, Rita Nemr, Rechdi Ahdab, Daniel E Platt, Antoine B Abchee, Hatem El-Shanti, Pierre A Zalloua

Abstract

The burden of diabetes in Lebanon requires well-targeted interventions for screening type 2 diabetes mellitus (T2DM) and prediabetes and prevention of risk factors. Newly recruited 998 Lebanese individuals, in addition to 7,292 already available, were studied to investigate the prevalence of diabetes, prediabetes and their associated risk factors.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 21%
Researcher 7 16%
Student > Master 6 14%
Student > Doctoral Student 5 12%
Student > Ph. D. Student 3 7%
Other 7 16%
Unknown 6 14%
Readers by discipline Count As %
Medicine and Dentistry 21 49%
Social Sciences 3 7%
Computer Science 1 2%
Nursing and Health Professions 1 2%
Agricultural and Biological Sciences 1 2%
Other 6 14%
Unknown 10 23%

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 01 January 2015.
All research outputs
#3,899,121
of 14,575,543 outputs
Outputs from Diabetology & Metabolic Syndrome
#96
of 413 outputs
Outputs of similar age
#49,191
of 200,627 outputs
Outputs of similar age from Diabetology & Metabolic Syndrome
#2
of 8 outputs
Altmetric has tracked 14,575,543 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 413 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 76% 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 200,627 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 74% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.