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X Demographics
Mendeley readers
Attention Score in Context
Title |
Functional gene arrays-based analysis of fecal microbiomes in patients with liver cirrhosis
|
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Published in |
BMC Genomics, September 2014
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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. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 2% |
Netherlands | 1 | 1% |
Unknown | 85 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 17% |
Student > Ph. D. Student | 14 | 16% |
Student > Master | 13 | 15% |
Student > Bachelor | 8 | 9% |
Student > Doctoral Student | 5 | 6% |
Other | 18 | 20% |
Unknown | 15 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 20 | 23% |
Medicine and Dentistry | 14 | 16% |
Biochemistry, Genetics and Molecular Biology | 10 | 11% |
Immunology and Microbiology | 5 | 6% |
Environmental Science | 5 | 6% |
Other | 10 | 11% |
Unknown | 24 | 27% |
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
#14,931,785
of 23,881,329 outputs
Outputs from BMC Genomics
#5,848
of 10,793 outputs
Outputs of similar age
#125,013
of 239,723 outputs
Outputs of similar age from BMC Genomics
#90
of 200 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 41st percentile – i.e., 41% 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 239,723 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 200 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 50% of its contemporaries.