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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
The Zebrafish as a Model for Human Bacterial Infections.
|
|---|---|
| Chapter number | 16 |
| Book title |
Bacterial Pathogenesis
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6673-8_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6671-4, 978-1-4939-6673-8
|
| Authors |
Melody N. Neely |
| Editors |
Pontus Nordenfelt, Mattias Collin |
| Abstract |
The development of the zebrafish (Danio rerio) infectious disease model has provided new insights and information into pathogenesis. Many of these new discoveries would not have been possible using a typical mammalian model. The advantages of using this model are many and in the last 15 years the model has been exploited for the analysis of many different pathogens. Here, we describe in detail how to perform a bacterial infection using either the adult zebrafish or zebrafish larvae using microinjection. Multiple methods of analysis are described that can be used to address specific questions pertaining to disease progression and the interactions with the immune system. |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 4% |
| Unknown | 23 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 17% |
| Student > Ph. D. Student | 3 | 13% |
| Student > Master | 3 | 13% |
| Lecturer | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Other | 3 | 13% |
| Unknown | 7 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 17% |
| Biochemistry, Genetics and Molecular Biology | 4 | 17% |
| Medicine and Dentistry | 2 | 8% |
| Immunology and Microbiology | 2 | 8% |
| Unspecified | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 9 | 38% |
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 January 2017.
All research outputs
#18,487,595
of 22,908,162 outputs
Outputs from Methods in molecular biology
#7,927
of 13,132 outputs
Outputs of similar age
#310,554
of 420,477 outputs
Outputs of similar age from Methods in molecular biology
#691
of 1,074 outputs
Altmetric has tracked 22,908,162 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 13,132 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 420,477 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% 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 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.