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Transcriptional adaptation of pneumococci and human pharyngeal cells in the presence of a virus infection

Overview of attention for article published in BMC Genomics, June 2013
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Title
Transcriptional adaptation of pneumococci and human pharyngeal cells in the presence of a virus infection
Published in
BMC Genomics, June 2013
DOI 10.1186/1471-2164-14-378
Pubmed ID
Authors

Sheila Z Kimaro Mlacha, Teresa C T Peret, Nikhil Kumar, Sandra Romero-Steiner, Julie C Dunning Hotopp, Nadeeza Ishmael, Valerie Grinblat-Huse, David R Riley, Dean D Erdman, George M Carlone, Jacquelyn Sampson, J Anthony G Scott, Hervé Tettelin

Abstract

Viral upper respiratory tract infections are associated with increased colonization by Streptococcus pneumoniae but the mechanisms underlying this relationship are unclear. The objective of this study is to describe a comprehensive picture of the cellular interaction between the adhering bacteria and host cells in the presence or absence of a viral co-infection.

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

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 20%
Student > Master 10 15%
Researcher 10 15%
Student > Bachelor 6 9%
Other 4 6%
Other 7 11%
Unknown 15 23%
Readers by discipline Count As %
Medicine and Dentistry 10 15%
Immunology and Microbiology 10 15%
Agricultural and Biological Sciences 10 15%
Biochemistry, Genetics and Molecular Biology 8 12%
Nursing and Health Professions 2 3%
Other 8 12%
Unknown 17 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 June 2013.
All research outputs
#18,340,012
of 22,711,645 outputs
Outputs from BMC Genomics
#8,155
of 10,626 outputs
Outputs of similar age
#148,325
of 197,464 outputs
Outputs of similar age from BMC Genomics
#92
of 118 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,626 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 197,464 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.