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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Creation and Analysis of a Virome: Using CRISPR Spacers.
|
|---|---|
| Chapter number | 20 |
| Book title |
CRISPR
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-2687-9_20 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2686-2, 978-1-4939-2687-9
|
| Authors |
Davison, Michelle, Bhaya, Devaki, Michelle Davison, Devaki Bhaya |
| Editors |
Magnus Lundgren, Emmanuelle Charpentier, Peter C. Fineran |
| Abstract |
Advances in sequencing technology have allowed for the study of complex and previously unexplored microbial and viral populations; however, linking host-phage partners using in silico techniques has been challenging. Here, we describe the flow-through for creation of a virome, and its subsequent analysis with the viral assembly and analysis module "Viritas," which we have recently developed. This module allows for binning of contigs based on tetranucleotide frequencies, putative phage-host partner identification by CRISPR spacer matching, and identification of ORFs. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 25% |
| France | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 10% |
| Unknown | 18 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 20% |
| Researcher | 4 | 20% |
| Student > Master | 3 | 15% |
| Other | 2 | 10% |
| Student > Postgraduate | 2 | 10% |
| Other | 4 | 20% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 30% |
| Biochemistry, Genetics and Molecular Biology | 6 | 30% |
| Unspecified | 1 | 5% |
| Environmental Science | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 20% |
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 10 February 2016.
All research outputs
#13,741,779
of 22,805,349 outputs
Outputs from Methods in molecular biology
#3,850
of 13,120 outputs
Outputs of similar age
#178,078
of 353,075 outputs
Outputs of similar age from Methods in molecular biology
#245
of 996 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,120 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 70% 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 353,075 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 996 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.