↓ Skip to main content

Integrated next-generation sequencing of 16S rDNA and metaproteomics differentiate the healthy urine microbiome from asymptomatic bacteriuria in neuropathic bladder associated with spinal cord injury

Overview of attention for article published in Journal of Translational Medicine, August 2012
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
373 Dimensions

Readers on

mendeley
380 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Integrated next-generation sequencing of 16S rDNA and metaproteomics differentiate the healthy urine microbiome from asymptomatic bacteriuria in neuropathic bladder associated with spinal cord injury
Published in
Journal of Translational Medicine, August 2012
DOI 10.1186/1479-5876-10-174
Pubmed ID
Authors

Derrick E Fouts, Rembert Pieper, Sebastian Szpakowski, Hans Pohl, Susan Knoblach, Moo-Jin Suh, Shih-Ting Huang, Inger Ljungberg, Bruce M Sprague, Sarah K Lucas, Manolito Torralba, Karen E Nelson, Suzanne L Groah

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

Geographical breakdown

Country Count As %
Germany 3 <1%
United States 3 <1%
Singapore 1 <1%
Australia 1 <1%
Japan 1 <1%
Denmark 1 <1%
Unknown 370 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 77 20%
Student > Ph. D. Student 48 13%
Student > Master 44 12%
Other 34 9%
Student > Bachelor 25 7%
Other 80 21%
Unknown 72 19%
Readers by discipline Count As %
Medicine and Dentistry 98 26%
Agricultural and Biological Sciences 63 17%
Biochemistry, Genetics and Molecular Biology 44 12%
Immunology and Microbiology 30 8%
Engineering 10 3%
Other 48 13%
Unknown 87 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 28 March 2024.
All research outputs
#8,102,546
of 25,738,558 outputs
Outputs from Journal of Translational Medicine
#1,374
of 4,707 outputs
Outputs of similar age
#58,668
of 188,492 outputs
Outputs of similar age from Journal of Translational Medicine
#17
of 50 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 4,707 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 gotten more attention than average, scoring higher than 69% 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 188,492 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.