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Mendeley readers
Attention Score in Context
Chapter title |
Genotyping Strains of Lyme Disease Agents Directly From Ticks, Blood, or Tissue
|
---|---|
Chapter number | 1 |
Book title |
Borrelia burgdorferi
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7383-5_1 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7382-8, 978-1-4939-7383-5
|
Authors |
Alan G. Barbour, Vanessa J. Cook |
Abstract |
The tick-borne spirochetes that cause Lyme disease in North America and Eurasia display strong linkage disequilibrium between certain chromosomal and plasmid loci within each three major geographic areas of their distribution. For strain typing for epidemiologic and ecologic purposes, the commonly used genotypes based on a single locus are the spacer between the 16S-23S ribosomal RNA and the ospC gene of a plasmid. A simple genotyping scheme based on the two loci allows for discrimination between strains representing all the areas of distribution. The methods presented here are meant for genotyping directly from ticks and from blood and tissue samples from vertebrates. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
Norway | 1 | 20% |
Canada | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 1 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 20% |
Student > Master | 3 | 20% |
Researcher | 2 | 13% |
Student > Bachelor | 1 | 7% |
Professor | 1 | 7% |
Other | 4 | 27% |
Unknown | 1 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Veterinary Science and Veterinary Medicine | 3 | 20% |
Biochemistry, Genetics and Molecular Biology | 3 | 20% |
Agricultural and Biological Sciences | 3 | 20% |
Immunology and Microbiology | 2 | 13% |
Linguistics | 1 | 7% |
Other | 2 | 13% |
Unknown | 1 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 February 2019.
All research outputs
#12,762,447
of 23,006,268 outputs
Outputs from Methods in molecular biology
#3,175
of 13,160 outputs
Outputs of similar age
#199,314
of 442,254 outputs
Outputs of similar age from Methods in molecular biology
#258
of 1,498 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,160 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 75% 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 442,254 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 54% 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 82% of its contemporaries.