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Mendeley readers
Attention Score in Context
| Title |
Experimental design and quantitative analysis of microbial community multiomics
|
|---|---|
| Published in |
Genome Biology, November 2017
|
| DOI | 10.1186/s13059-017-1359-z |
| Pubmed ID | |
| Authors |
Himel Mallick, Siyuan Ma, Eric A. Franzosa, Tommi Vatanen, Xochitl C. Morgan, Curtis Huttenhower |
| Abstract |
Studies of the microbiome have become increasingly sophisticated, and multiple sequence-based, molecular methods as well as culture-based methods exist for population-scale microbiome profiles. To link the resulting host and microbial data types to human health, several experimental design considerations, data analysis challenges, and statistical epidemiological approaches must be addressed. Here, we survey current best practices for experimental design in microbiome molecular epidemiology, including technologies for generating, analyzing, and integrating microbiome multiomics data. We highlight studies that have identified molecular bioactives that influence human health, and we suggest steps for scaling translational microbiome research to high-throughput target discovery across large populations. |
X Demographics
The data shown below were collected from the profiles of 97 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 | 28 | 29% |
| Canada | 5 | 5% |
| Netherlands | 4 | 4% |
| India | 4 | 4% |
| Germany | 4 | 4% |
| France | 4 | 4% |
| United Kingdom | 3 | 3% |
| Australia | 3 | 3% |
| Spain | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 29 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 50 | 52% |
| Members of the public | 44 | 45% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 490 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 490 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 115 | 23% |
| Researcher | 107 | 22% |
| Student > Master | 63 | 13% |
| Student > Bachelor | 38 | 8% |
| Student > Doctoral Student | 19 | 4% |
| Other | 55 | 11% |
| Unknown | 93 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 124 | 25% |
| Biochemistry, Genetics and Molecular Biology | 88 | 18% |
| Immunology and Microbiology | 51 | 10% |
| Medicine and Dentistry | 29 | 6% |
| Computer Science | 19 | 4% |
| Other | 64 | 13% |
| Unknown | 115 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 61. 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 06 December 2021.
All research outputs
#697,480
of 25,394,764 outputs
Outputs from Genome Biology
#451
of 4,470 outputs
Outputs of similar age
#15,764
of 445,906 outputs
Outputs of similar age from Genome Biology
#14
of 55 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 done well, scoring higher than 89% 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 445,906 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 96% of its contemporaries.
We're also able to compare this research output to 55 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 74% of its contemporaries.