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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Molecular Analysis of the Microbiome in Colorectal Cancer
|
|---|---|
| Chapter number | 8 |
| Book title |
Colorectal Cancer
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7765-9_8 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7764-2, 978-1-4939-7765-9
|
| Authors |
Fiona Clegg, Susan H. Berry, Richard Hansen, Georgina L. Hold |
| Abstract |
The human gut microbiota plays a major role in the development of colorectal cancer (CRC). Many studies have attempted to define links between microbiota residents, their function and disease development. We now have incredible molecular tools to allow us to study the gut microbiome however in order to make best use of these sophisticated approaches we need to ensure that samples are collected and processed using standardized and reproducible protocols. Here we provide an overview of molecular analysis methods and describe protocols for collecting and processing clinical samples for subsequent microbiome analysis. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 4 | 17% |
| Student > Master | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Researcher | 2 | 9% |
| Other | 1 | 4% |
| Unknown | 10 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 30% |
| Medicine and Dentistry | 4 | 17% |
| Agricultural and Biological Sciences | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Neuroscience | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 9 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 March 2018.
All research outputs
#18,594,219
of 23,031,582 outputs
Outputs from Methods in molecular biology
#7,974
of 13,177 outputs
Outputs of similar age
#330,599
of 442,391 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,499 outputs
Altmetric has tracked 23,031,582 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,177 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% 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 442,391 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.