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A review of methods for the detection of pathogenic microorganisms

Overview of attention for article published in Analyst, January 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
58 Mendeley
Title
A review of methods for the detection of pathogenic microorganisms
Published in
Analyst, January 2019
DOI 10.1039/c8an01488d
Pubmed ID
Authors

P. Rajapaksha, A. Elbourne, S. Gangadoo, R. Brown, D. Cozzolino, J. Chapman

Twitter Demographics

The data shown below were collected from the profiles of 5 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 24%
Student > Ph. D. Student 13 22%
Student > Doctoral Student 6 10%
Student > Bachelor 5 9%
Professor > Associate Professor 5 9%
Other 11 19%
Unknown 4 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 22%
Biochemistry, Genetics and Molecular Biology 10 17%
Engineering 8 14%
Unspecified 3 5%
Immunology and Microbiology 3 5%
Other 11 19%
Unknown 10 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 December 2018.
All research outputs
#4,024,862
of 13,958,558 outputs
Outputs from Analyst
#744
of 4,059 outputs
Outputs of similar age
#120,371
of 318,539 outputs
Outputs of similar age from Analyst
#3
of 20 outputs
Altmetric has tracked 13,958,558 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 4,059 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 81% 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 318,539 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 61% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.