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Application of real-time simultaneous amplification and testing method to accurately and rapidly detect extra-pulmonary tuberculosis

Overview of attention for article published in BMC Infectious Diseases, April 2020
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Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Application of real-time simultaneous amplification and testing method to accurately and rapidly detect extra-pulmonary tuberculosis
Published in
BMC Infectious Diseases, April 2020
DOI 10.1186/s12879-020-05036-0
Pubmed ID
Authors

Tongxin Li, Tao Shi, Ying Sun, Kan Zhou, Zhenggu Huang, Pengsen Wang, Ming Luo, Xiaoping Nie, Guoqiang Yang, Yu Chen, Yaokai Chen

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 25%
Researcher 1 13%
Student > Postgraduate 1 13%
Student > Doctoral Student 1 13%
Unknown 3 38%
Readers by discipline Count As %
Chemical Engineering 1 13%
Immunology and Microbiology 1 13%
Medicine and Dentistry 1 13%
Unknown 5 63%

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 24 April 2020.
All research outputs
#13,980,551
of 17,523,006 outputs
Outputs from BMC Infectious Diseases
#4,421
of 6,202 outputs
Outputs of similar age
#209,537
of 283,672 outputs
Outputs of similar age from BMC Infectious Diseases
#1
of 1 outputs
Altmetric has tracked 17,523,006 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 6,202 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 14th percentile – i.e., 14% 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 283,672 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 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them