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An automated bacterial colony counting and classification system

Overview of attention for article published in Information Systems Frontiers, February 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 312)
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

patent
22 patents

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
59 Mendeley
Title
An automated bacterial colony counting and classification system
Published in
Information Systems Frontiers, February 2009
DOI 10.1007/s10796-009-9149-0
Authors

Wei-Bang Chen, Chengcui Zhang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
France 1 2%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 17%
Researcher 6 10%
Student > Master 5 8%
Lecturer 5 8%
Student > Doctoral Student 2 3%
Other 8 14%
Unknown 23 39%
Readers by discipline Count As %
Computer Science 9 15%
Engineering 9 15%
Agricultural and Biological Sciences 6 10%
Environmental Science 2 3%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 9 15%
Unknown 22 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 06 June 2023.
All research outputs
#1,334,176
of 22,931,367 outputs
Outputs from Information Systems Frontiers
#12
of 312 outputs
Outputs of similar age
#3,645
of 94,388 outputs
Outputs of similar age from Information Systems Frontiers
#1
of 3 outputs
Altmetric has tracked 22,931,367 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 312 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 96% 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 94,388 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 96% of its contemporaries.
We're also able to compare this research output to 3 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