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A Phi29-based unbiased exponential amplification and genotyping approach improves pathogen detection in tick samples

Overview of attention for article published in Frontiers in Veterinary Science, November 2022
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1 X user

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7 Mendeley
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Title
A Phi29-based unbiased exponential amplification and genotyping approach improves pathogen detection in tick samples
Published in
Frontiers in Veterinary Science, November 2022
DOI 10.3389/fvets.2022.1025911
Pubmed ID
Authors

Xi Zhang, Jingjing Chen, Pengfei Jiang, Heling Xu, Qi Zhang, Huan Zhang, Xiaohu Han, Zeliang Chen

X Demographics

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 14%
Student > Ph. D. Student 1 14%
Researcher 1 14%
Unknown 4 57%
Readers by discipline Count As %
Nursing and Health Professions 1 14%
Medicine and Dentistry 1 14%
Unknown 5 71%
Attention Score in Context

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 07 November 2022.
All research outputs
#20,944,189
of 23,577,654 outputs
Outputs from Frontiers in Veterinary Science
#5,662
of 6,749 outputs
Outputs of similar age
#356,102
of 445,362 outputs
Outputs of similar age from Frontiers in Veterinary Science
#440
of 563 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,749 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 1st percentile – i.e., 1% 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 445,362 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 563 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.