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Identification of candidate genes linking systemic inflammation to atherosclerosis; results of a human in vivoLPS infusion study

Overview of attention for article published in BMC Medical Genomics, August 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
12 tweeters

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
36 Mendeley
citeulike
2 CiteULike
Title
Identification of candidate genes linking systemic inflammation to atherosclerosis; results of a human in vivoLPS infusion study
Published in
BMC Medical Genomics, August 2011
DOI 10.1186/1755-8794-4-64
Pubmed ID
Authors

Suthesh Sivapalaratnam, Rosienne Farrugia, Max Nieuwdorp, Cordelia F Langford, Rachel T van Beem, Stephanie Maiwald, Jaap Jan Zwaginga, Arief Gusnanto, Nicholas A Watkins, Mieke D Trip, Willem H Ouwehand

Abstract

It is widely accepted that atherosclerosis and inflammation are intimately linked. Monocytes play a key role in both of these processes and we hypothesized that activation of inflammatory pathways in monocytes would lead to, among others, proatherogenic changes in the monocyte transcriptome. Such differentially expressed genes in circulating monocytes would be strong candidates for further investigation in disease association studies.

Twitter Demographics

The data shown below were collected from the profiles of 12 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Italy 1 3%
Unknown 34 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Researcher 7 19%
Professor 5 14%
Student > Master 4 11%
Professor > Associate Professor 3 8%
Other 6 17%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 31%
Medicine and Dentistry 9 25%
Biochemistry, Genetics and Molecular Biology 5 14%
Immunology and Microbiology 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 6%
Unknown 5 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 January 2012.
All research outputs
#1,601,629
of 13,082,606 outputs
Outputs from BMC Medical Genomics
#84
of 645 outputs
Outputs of similar age
#11,436
of 86,326 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 5 outputs
Altmetric has tracked 13,082,606 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 645 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 86% 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 86,326 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them