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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
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 % |
|---|---|---|
| Netherlands | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 10 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 2 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Italy | 1 | 2% |
| Unknown | 48 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 18% |
| Student > Ph. D. Student | 9 | 18% |
| Professor | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Other | 4 | 8% |
| Other | 11 | 22% |
| Unknown | 8 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 24% |
| Medicine and Dentistry | 12 | 24% |
| Biochemistry, Genetics and Molecular Biology | 7 | 14% |
| Immunology and Microbiology | 4 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 11 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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
#3,208,874
of 23,313,051 outputs
Outputs from BMC Medical Genomics
#138
of 1,252 outputs
Outputs of similar age
#16,329
of 122,010 outputs
Outputs of similar age from BMC Medical Genomics
#1
of 11 outputs
Altmetric has tracked 23,313,051 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 1,252 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 88% 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 122,010 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 86% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.