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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reptile-associated Borrelia species in the goanna tick (Bothriocroton undatum) from Sydney, Australia
|
|---|---|
| Published in |
Parasites & Vectors, December 2017
|
| DOI | 10.1186/s13071-017-2579-5 |
| Pubmed ID | |
| Authors |
Jessica L. Panetta, Radek Šíma, Nichola E. D. Calvani, Ondřej Hajdušek, Shona Chandra, Jessica Panuccio, Jan Šlapeta |
| Abstract |
Knowledge on the capacity of Australian ticks to carry Borrelia species is currently limited or missing. To evaluate the potential of ticks to carry bacterial pathogens and their DNA, it is imperative to have a robust workflow that maximises recovery of bacterial DNA within ticks in order to enable accurate identification. By exploiting the bilateral anatomical symmetry of ticks, we were able to directly compare two DNA extraction methods for 16S rRNA gene diversity profiling and pathogen detection. We aimed to assess which combination of DNA extraction and 16S rRNA hypervariable region enables identification of the greatest bacterial diversity, whilst minimising bias, and providing the greatest capacity for the identification of Borrelia spp. We collected Australian endemic ticks (Bothriocroton undatum), isolated DNA from equal tick halves using two commercial DNA extraction methods and sequenced samples using V1-V3 and V3-V4 16S rRNA gene diversity profiling assays. Two distinct Borrelia spp. operational taxonomic units (OTUs) were detected using the V1-V3 16S rRNA hypervariable region and matching Borrelia spp. sequences were obtained using a conventional nested-PCR. The tick 16S rRNA gene diversity profile was dominated by Rickettsia spp. (98-99%), while the remaining OTUs belonged to Proteobacteria (51-81%), Actinobacteria (6-30%) and Firmicutes (2-7%). Multiple comparisons tests demonstrated biases in each of the DNA extraction kits towards different bacterial taxa. Two distinct Borrelia species belonging to the reptile-associated Borrelia group were identified. Our results show that the method of DNA extraction can promote bias in the final microbiota identified. We determined an optimal DNA extraction method and 16S rRNA gene diversity profile assay that maximises detection of Borrelia species. |
X Demographics
The data shown below were collected from the profiles of 12 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 Kingdom | 2 | 17% |
| Australia | 2 | 17% |
| United States | 2 | 17% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 83% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
| Unknown | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 24% |
| Student > Ph. D. Student | 9 | 22% |
| Student > Bachelor | 5 | 12% |
| Student > Master | 5 | 12% |
| Other | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Veterinary Science and Veterinary Medicine | 9 | 22% |
| Agricultural and Biological Sciences | 8 | 20% |
| Biochemistry, Genetics and Molecular Biology | 6 | 15% |
| Medicine and Dentistry | 4 | 10% |
| Engineering | 3 | 7% |
| Other | 6 | 15% |
| Unknown | 5 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 2022.
All research outputs
#1,894,388
of 24,362,308 outputs
Outputs from Parasites & Vectors
#310
of 5,740 outputs
Outputs of similar age
#43,459
of 449,267 outputs
Outputs of similar age from Parasites & Vectors
#18
of 172 outputs
Altmetric has tracked 24,362,308 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,740 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 94% 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 449,267 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.