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Attention Score in Context
Title |
Exploration of bacterial community classes in major human habitats
|
---|---|
Published in |
Genome Biology, May 2014
|
DOI | 10.1186/gb-2014-15-5-r66 |
Pubmed ID | |
Authors |
Yanjiao Zhou, Kathie A Mihindukulasuriya, Hongyu Gao, Patricio S La Rosa, Kristine M Wylie, John C Martin, Karthik Kota, William D Shannon, Makedonka Mitreva, Erica Sodergren, George M Weinstock |
Abstract |
Determining bacterial abundance variation is the first step in understanding bacterial similarity between individuals. Categorization of bacterial communities into groups or community classes is the subsequent step in describing microbial distribution based on abundance patterns. Here, we present an analysis of the groupings of bacterial communities in stool, nasal, skin, vaginal and oral habitats in a healthy cohort of 236 subjects from the Human Microbiome Project. |
X Demographics
The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 27% |
United Kingdom | 6 | 23% |
Côte d'Ivoire | 1 | 4% |
Italy | 1 | 4% |
France | 1 | 4% |
Unknown | 10 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 54% |
Scientists | 10 | 38% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
Germany | 2 | 1% |
Sudan | 1 | <1% |
Russia | 1 | <1% |
Belgium | 1 | <1% |
Unknown | 187 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 50 | 26% |
Student > Ph. D. Student | 38 | 19% |
Student > Bachelor | 20 | 10% |
Student > Master | 20 | 10% |
Professor | 9 | 5% |
Other | 20 | 10% |
Unknown | 38 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 62 | 32% |
Medicine and Dentistry | 25 | 13% |
Biochemistry, Genetics and Molecular Biology | 23 | 12% |
Immunology and Microbiology | 16 | 8% |
Computer Science | 4 | 2% |
Other | 18 | 9% |
Unknown | 47 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 21 December 2021.
All research outputs
#1,460,927
of 25,706,302 outputs
Outputs from Genome Biology
#1,151
of 4,504 outputs
Outputs of similar age
#14,046
of 242,701 outputs
Outputs of similar age from Genome Biology
#8
of 37 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,504 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 74% 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 242,701 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.