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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Chikungunya Virus
|
|---|---|
| Chapter number | 3 |
| Book title |
Chikungunya Virus
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3618-2_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3616-8, 978-1-4939-3618-2
|
| Authors |
Hapuarachchi, Hapuarachchige Chanditha, Lee, Kim-Sung, Hapuarachchige Chanditha Hapuarachchi, Kim-Sung Lee |
| Editors |
Justin Jang Hann Chu, Swee Kim Ang |
| Abstract |
Recent advances in genetic methodologies have substantially expanded our ability to track evolution and spatio-temporal distribution of rapidly evolving pathogens. The information gathered from such analyses can be used to decipher host adaptations that shape disease epidemiology. In this chapter, we demonstrate the utilization of freely available resources to track the evolution and spread of Chikungunya virus. |
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 % |
|---|---|---|
| Unknown | 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 5% |
| United States | 1 | 5% |
| Unknown | 18 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 40% |
| Other | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Student > Master | 1 | 5% |
| Student > Ph. D. Student | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 4 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 35% |
| Immunology and Microbiology | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Veterinary Science and Veterinary Medicine | 1 | 5% |
| Arts and Humanities | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 5 | 25% |
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 May 2016.
All research outputs
#15,376,252
of 22,875,477 outputs
Outputs from Methods in molecular biology
#5,351
of 13,131 outputs
Outputs of similar age
#230,972
of 393,689 outputs
Outputs of similar age from Methods in molecular biology
#544
of 1,471 outputs
Altmetric has tracked 22,875,477 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 13,131 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 393,689 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.