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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Essential Steps in Characterizing Bacteriophages: Biology, Taxonomy, and Genome Analysis
|
|---|---|
| Chapter number | 15 |
| Book title |
Bacteriophages
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7343-9_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7341-5, 978-1-4939-7343-9
|
| Authors |
Ramy Karam Aziz, Hans-Wolfgang Ackermann, Nicola K. Petty, Andrew M. Kropinski |
| Abstract |
Because of the rise in antimicrobial resistance there has been a significant increase in interest in phages for therapeutic use. Furthermore, the cost of sequencing phage genomes has decreased to the point where it is being used as a teaching tool for genomics. Unfortunately, the quality of the descriptions of the phage and its annotation frequently are substandard. The following chapter is designed to help people working on phages, particularly those new to the field, to accurately describe their newly isolated viruses. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 5 | 71% |
| France | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 25% |
| Researcher | 6 | 19% |
| Student > Master | 4 | 13% |
| Student > Doctoral Student | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 5 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 22% |
| Immunology and Microbiology | 7 | 22% |
| Medicine and Dentistry | 4 | 13% |
| Agricultural and Biological Sciences | 4 | 13% |
| Economics, Econometrics and Finance | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 6 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 23 November 2017.
All research outputs
#7,227,053
of 23,007,887 outputs
Outputs from Methods in molecular biology
#2,189
of 13,157 outputs
Outputs of similar age
#146,196
of 442,278 outputs
Outputs of similar age from Methods in molecular biology
#211
of 1,498 outputs
Altmetric has tracked 23,007,887 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 13,157 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 83% 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 442,278 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.