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Modeling the transmission of community-associated methicillin-resistant Staphylococcus aureus: a dynamic agent-based simulation

Overview of attention for article published in Journal of Translational Medicine, May 2014
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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 (84th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
116 Mendeley
Title
Modeling the transmission of community-associated methicillin-resistant Staphylococcus aureus: a dynamic agent-based simulation
Published in
Journal of Translational Medicine, May 2014
DOI 10.1186/1479-5876-12-124
Pubmed ID
Authors

Charles M Macal, Michael J North, Nicholson Collier, Vanja M Dukic, Duane T Wegener, Michael Z David, Robert S Daum, Philip Schumm, James A Evans, Jocelyn R Wilder, Loren G Miller, Samantha J Eells, Diane S Lauderdale

Abstract

Methicillin-resistant Staphylococcus aureus (MRSA) has been a deadly pathogen in healthcare settings since the 1960s, but MRSA epidemiology changed since 1990 with new genetically distinct strain types circulating among previously healthy people outside healthcare settings. Community-associated (CA) MRSA strains primarily cause skin and soft tissue infections, but may also cause life-threatening invasive infections. First seen in Australia and the U.S., it is a growing problem around the world. The U.S. has had the most widespread CA-MRSA epidemic, with strain type USA300 causing the great majority of infections. Individuals with either asymptomatic colonization or infection may transmit CA-MRSA to others, largely by skin-to-skin contact. Control measures have focused on hospital transmission. Limited public health education has focused on care for skin infections.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Australia 1 <1%
Brazil 1 <1%
Unknown 112 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 22%
Researcher 19 16%
Student > Bachelor 14 12%
Professor 9 8%
Other 9 8%
Other 24 21%
Unknown 15 13%
Readers by discipline Count As %
Medicine and Dentistry 22 19%
Agricultural and Biological Sciences 16 14%
Engineering 9 8%
Social Sciences 7 6%
Computer Science 7 6%
Other 36 31%
Unknown 19 16%
Attention Score in Context

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 07 November 2016.
All research outputs
#3,710,309
of 25,374,647 outputs
Outputs from Journal of Translational Medicine
#668
of 4,635 outputs
Outputs of similar age
#35,819
of 241,837 outputs
Outputs of similar age from Journal of Translational Medicine
#14
of 105 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,635 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 85% 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 241,837 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 105 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.