↓ Skip to main content

Microbial fingerprinting detects intestinal microbiota dysbiosis in Zebrafish models with chemically-induced enterocolitis

Overview of attention for article published in BMC Microbiology, December 2013
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
6 X users
googleplus
1 Google+ user

Readers on

mendeley
94 Mendeley
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
Microbial fingerprinting detects intestinal microbiota dysbiosis in Zebrafish models with chemically-induced enterocolitis
Published in
BMC Microbiology, December 2013
DOI 10.1186/1471-2180-13-289
Pubmed ID
Authors

Qi He, Lin Wang, Fan Wang, Chenyang Wang, Chun Tang, Qiurong Li, Jieshou Li, Qingshun Zhao

Abstract

Inflammatory bowel disease (IBD) involves a breakdown in interactions between the host immune response and the resident commensal microbiota. Recent studies have suggested gut physiology and pathology relevant to human IBD can be rapidly modeled in zebrafish larvae. The aim of this study was to investigate the dysbiosis of intestinal microbiota in zebrafish models with IBD-like enterocolitis using culture-independent techniques.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Spain 1 1%
United Kingdom 1 1%
Unknown 90 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 19%
Researcher 16 17%
Student > Bachelor 13 14%
Student > Master 13 14%
Student > Doctoral Student 5 5%
Other 12 13%
Unknown 17 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 34%
Biochemistry, Genetics and Molecular Biology 15 16%
Medicine and Dentistry 11 12%
Immunology and Microbiology 8 9%
Veterinary Science and Veterinary Medicine 3 3%
Other 5 5%
Unknown 20 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 24 December 2013.
All research outputs
#7,120,147
of 25,654,806 outputs
Outputs from BMC Microbiology
#748
of 3,513 outputs
Outputs of similar age
#77,240
of 321,897 outputs
Outputs of similar age from BMC Microbiology
#15
of 50 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,513 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 78% 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 321,897 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 75% 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 70% of its contemporaries.