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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Functional Metagenomics to Study Antibiotic Resistance
|
|---|---|
| Chapter number | 19 |
| Book title |
Antibiotics
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6634-9_19 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6632-5, 978-1-4939-6634-9
|
| Authors |
Manish Boolchandani, Sanket Patel, Gautam Dantas |
| Editors |
Peter Sass |
| Abstract |
The construction and screening of metagenomic expression libraries has great potential to identify novel genes and their functions. Here, we describe metagenomic library preparation from fecal DNA, screening of libraries for antibiotic resistance genes (ARGs), massively parallel DNA sequencing of the enriched DNA fragments, and a computational pipeline for high-throughput assembly and annotation of functionally selected DNA. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| Unknown | 64 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 15% |
| Student > Master | 10 | 15% |
| Student > Bachelor | 10 | 15% |
| Researcher | 7 | 11% |
| Other | 5 | 8% |
| Other | 11 | 17% |
| Unknown | 13 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 24% |
| Agricultural and Biological Sciences | 11 | 17% |
| Immunology and Microbiology | 6 | 9% |
| Medicine and Dentistry | 4 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 19 | 29% |
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 22 February 2021.
All research outputs
#15,395,259
of 22,903,988 outputs
Outputs from Methods in molecular biology
#5,356
of 13,133 outputs
Outputs of similar age
#256,344
of 420,462 outputs
Outputs of similar age from Methods in molecular biology
#465
of 1,074 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,133 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 420,462 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.