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A newly developed paper embedded microchip based on LAMP for rapid multiple detections of foodborne pathogens

Overview of attention for article published in BMC Microbiology, June 2021
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Mentioned by

twitter
1 tweeter

Citations

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1 Dimensions

Readers on

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10 Mendeley
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Title
A newly developed paper embedded microchip based on LAMP for rapid multiple detections of foodborne pathogens
Published in
BMC Microbiology, June 2021
DOI 10.1186/s12866-021-02223-0
Pubmed ID
Authors

Mimi Zhang, Jinfeng Liu, Zhiqiang Shen, Yongxin Liu, Yang Song, Yu Liang, Zhende Li, Lingmei Nie, Yanjun Fang, Youquan Zhao

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Student > Master 3 30%
Researcher 2 20%
Student > Doctoral Student 1 10%
Unknown 1 10%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 30%
Agricultural and Biological Sciences 2 20%
Nursing and Health Professions 1 10%
Veterinary Science and Veterinary Medicine 1 10%
Chemistry 1 10%
Other 0 0%
Unknown 2 20%

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 01 July 2021.
All research outputs
#17,589,995
of 19,846,165 outputs
Outputs from BMC Microbiology
#2,367
of 2,906 outputs
Outputs of similar age
#270,769
of 338,791 outputs
Outputs of similar age from BMC Microbiology
#1
of 1 outputs
Altmetric has tracked 19,846,165 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 2,906 research outputs from this source. They receive a mean Attention Score of 3.9. 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 338,791 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 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