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Integrative analysis of the transcriptome profiles observed in type 1, type 2 and gestational diabetes mellitus reveals the role of inflammation

Overview of attention for article published in BMC Medical Genomics, May 2014
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3 X users

Citations

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34 Dimensions

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96 Mendeley
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Title
Integrative analysis of the transcriptome profiles observed in type 1, type 2 and gestational diabetes mellitus reveals the role of inflammation
Published in
BMC Medical Genomics, May 2014
DOI 10.1186/1755-8794-7-28
Pubmed ID
Authors

Adriane F Evangelista, Cristhianna VA Collares, Danilo J Xavier, Claudia Macedo, Fernanda S Manoel-Caetano, Diane M Rassi, Maria C Foss-Freitas, Milton C Foss, Elza T Sakamoto-Hojo, Catherine Nguyen, Denis Puthier, Geraldo A Passos, Eduardo A Donadi

Abstract

Type 1 diabetes (T1D) is an autoimmune disease, while type 2 (T2D) and gestational diabetes (GDM) are considered metabolic disturbances. In a previous study evaluating the transcript profiling of peripheral mononuclear blood cells obtained from T1D, T2D and GDM patients we showed that the gene profile of T1D patients was closer to GDM than to T2D. To understand the influence of demographical, clinical, laboratory, pathogenetic and treatment features on the diabetes transcript profiling, we performed an analysis integrating these features with the gene expression profiles of the annotated genes included in databases containing information regarding GWAS and immune cell expression signatures.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Canada 1 1%
Brazil 1 1%
Unknown 93 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 15%
Student > Master 14 15%
Student > Bachelor 12 13%
Researcher 10 10%
Other 7 7%
Other 19 20%
Unknown 20 21%
Readers by discipline Count As %
Medicine and Dentistry 19 20%
Agricultural and Biological Sciences 16 17%
Biochemistry, Genetics and Molecular Biology 12 13%
Nursing and Health Professions 5 5%
Immunology and Microbiology 4 4%
Other 18 19%
Unknown 22 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 September 2014.
All research outputs
#15,074,968
of 23,940,793 outputs
Outputs from BMC Medical Genomics
#592
of 1,285 outputs
Outputs of similar age
#122,632
of 229,702 outputs
Outputs of similar age from BMC Medical Genomics
#15
of 22 outputs
Altmetric has tracked 23,940,793 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,285 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 50% 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 229,702 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.