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Functional gene arrays-based analysis of fecal microbiomes in patients with liver cirrhosis

Overview of attention for article published in BMC Genomics, January 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
64 Mendeley
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Title
Functional gene arrays-based analysis of fecal microbiomes in patients with liver cirrhosis
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-753
Pubmed ID
Authors

Yanfei Chen, Nan Qin, Jing Guo, Guirong Qian, Daiqiong Fang, Ding Shi, Min Xu, Fengling Yang, Zhili He, Joy D Van Nostrand, Tong Yuan, Ye Deng, Jizhong Zhou, Lanjuan Li

Abstract

Human gut microbiota plays an important role in the pathogenesis of cirrhosis complications. Although the phylogenetic diversity of intestinal microbiota in patients with liver cirrhosis has been examined in several studies, little is known about their functional composition and structure.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 3%
Netherlands 1 2%
Unknown 61 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Researcher 12 19%
Student > Master 9 14%
Student > Bachelor 7 11%
Student > Postgraduate 5 8%
Other 13 20%
Unknown 6 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 28%
Medicine and Dentistry 11 17%
Biochemistry, Genetics and Molecular Biology 9 14%
Environmental Science 4 6%
Immunology and Microbiology 3 5%
Other 8 13%
Unknown 11 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 May 2015.
All research outputs
#2,369,771
of 5,163,199 outputs
Outputs from BMC Genomics
#2,451
of 4,691 outputs
Outputs of similar age
#56,969
of 135,991 outputs
Outputs of similar age from BMC Genomics
#120
of 269 outputs
Altmetric has tracked 5,163,199 research outputs across all sources so far. This one has received more attention than most of these and is in the 51st percentile.
So far Altmetric has tracked 4,691 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 42nd percentile – i.e., 42% 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 135,991 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 54% of its contemporaries.
We're also able to compare this research output to 269 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.