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Gene expression profiling of peripheral blood mononuclear cells in the setting of peripheral arterial disease

Overview of attention for article published in Journal of Clinical Bioinformatics, March 2012
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3 X users

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68 Mendeley
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Title
Gene expression profiling of peripheral blood mononuclear cells in the setting of peripheral arterial disease
Published in
Journal of Clinical Bioinformatics, March 2012
DOI 10.1186/2043-9113-2-6
Pubmed ID
Authors

Rizwan Masud, Khader Shameer, Aparna Dhar, Keyue Ding, Iftikhar J Kullo

Abstract

Peripheral arterial disease (PAD) is a relatively common manifestation of systemic atherosclerosis that leads to progressive narrowing of the lumen of leg arteries. Circulating monocytes are in contact with the arterial wall and can serve as reporters of vascular pathology in the setting of PAD. We performed gene expression analysis of peripheral blood mononuclear cells (PBMC) in patients with PAD and controls without PAD to identify differentially regulated genes.

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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Bulgaria 1 1%
Germany 1 1%
Unknown 65 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 25%
Researcher 10 15%
Student > Master 6 9%
Professor 6 9%
Student > Bachelor 5 7%
Other 13 19%
Unknown 11 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 25%
Medicine and Dentistry 14 21%
Biochemistry, Genetics and Molecular Biology 7 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Computer Science 2 3%
Other 8 12%
Unknown 18 26%
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 27 August 2018.
All research outputs
#15,168,964
of 25,373,627 outputs
Outputs from Journal of Clinical Bioinformatics
#22
of 61 outputs
Outputs of similar age
#97,729
of 168,814 outputs
Outputs of similar age from Journal of Clinical Bioinformatics
#3
of 6 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 61 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 60% 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 168,814 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.