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Contribution of Genetic Background, Traditional Risk Factors, and HIV-Related Factors to Coronary Artery Disease Events in HIV-Positive Persons

Overview of attention for article published in Clinical Infectious Diseases, March 2013
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58 Dimensions

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Title
Contribution of Genetic Background, Traditional Risk Factors, and HIV-Related Factors to Coronary Artery Disease Events in HIV-Positive Persons
Published in
Clinical Infectious Diseases, March 2013
DOI 10.1093/cid/cit196
Pubmed ID
Authors

Margalida Rotger, Tracy R. Glass, Thomas Junier, Jens Lundgren, James D. Neaton, Estella S. Poloni, Angélique B. van 't Wout, Rubin Lubomirov, Sara Colombo, Raquel Martinez, Andri Rauch, Huldrych F. Günthard, Jacqueline Neuhaus, Deborah Wentworth, Danielle van Manen, Luuk A. Gras, Hanneke Schuitemaker, Laura Albini, Carlo Torti, Lisa P. Jacobson, Xiuhong Li, Lawrence A. Kingsley, Federica Carli, Giovanni Guaraldi, Emily S. Ford, Irini Sereti, Colleen Hadigan, Esteban Martinez, Mireia Arnedo, Lander Egaña-Gorroño, Jose M. Gatell, Matthew Law, Courtney Bendall, Kathy Petoumenos, Jürgen Rockstroh, Jan-Christian Wasmuth, Kabeya Kabamba, Marc Delforge, Stephane De Wit, Florian Berger, Stefan Mauss, Mariana de Paz Sierra, Marcelo Losso, Waldo H. Belloso, Maria Leyes, Antoni Campins, Annalisa Mondi, Andrea De Luca, Ignacio Bernardino, Mónica Barriuso-Iglesias, Ana Torrecilla-Rodriguez, Juan Gonzalez-Garcia, José R. Arribas, Iuri Fanti, Silvia Gel, Jordi Puig, Eugenia Negredo, Mar Gutierrez, Pere Domingo, Julia Fischer, Gerd Fätkenheuer, Carlos Alonso-Villaverde, Alan Macken, James Woo, Tara McGinty, Patrick Mallon, Alexandra Mangili, Sally Skinner, Christine A. Wanke, Peter Reiss, Rainer Weber, Heiner C. Bucher, Jacques Fellay, Amalio Telenti, Philip E. Tarr

Abstract

Persons infected with human immunodeficiency virus (HIV) have increased rates of coronary artery disease (CAD). The relative contribution of genetic background, HIV-related factors, antiretroviral medications, and traditional risk factors to CAD has not been fully evaluated in the setting of HIV infection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Netherlands 1 <1%
Germany 1 <1%
Japan 1 <1%
Spain 1 <1%
Unknown 117 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 15%
Student > Master 16 13%
Student > Ph. D. Student 14 11%
Professor > Associate Professor 12 10%
Student > Doctoral Student 9 7%
Other 28 23%
Unknown 26 21%
Readers by discipline Count As %
Medicine and Dentistry 58 47%
Biochemistry, Genetics and Molecular Biology 10 8%
Immunology and Microbiology 6 5%
Agricultural and Biological Sciences 4 3%
Nursing and Health Professions 3 2%
Other 13 10%
Unknown 30 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 December 2013.
All research outputs
#14,600,874
of 25,374,917 outputs
Outputs from Clinical Infectious Diseases
#12,401
of 16,853 outputs
Outputs of similar age
#112,684
of 210,388 outputs
Outputs of similar age from Clinical Infectious Diseases
#108
of 185 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,853 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.7. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 210,388 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 185 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.