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A low-cost autonomous optical sensor for water quality monitoring

Overview of attention for article published in Talanta, January 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
200 Mendeley
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Title
A low-cost autonomous optical sensor for water quality monitoring
Published in
Talanta, January 2015
DOI 10.1016/j.talanta.2014.09.045
Pubmed ID
Authors

Kevin Murphy, Brendan Heery, Timothy Sullivan, Dian Zhang, Lizandra Paludetti, King Tong Lau, Dermot Diamond, Ernane Costa, Noel O׳Connor, Fiona Regan

Mendeley readers

The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 2 1%
Indonesia 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Unknown 194 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 19%
Student > Master 32 16%
Student > Bachelor 26 13%
Student > Ph. D. Student 25 13%
Professor 10 5%
Other 32 16%
Unknown 38 19%
Readers by discipline Count As %
Engineering 61 31%
Environmental Science 34 17%
Chemistry 18 9%
Computer Science 13 7%
Earth and Planetary Sciences 5 3%
Other 25 13%
Unknown 44 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 14 July 2020.
All research outputs
#5,941,719
of 18,217,940 outputs
Outputs from Talanta
#757
of 4,716 outputs
Outputs of similar age
#139,045
of 348,552 outputs
Outputs of similar age from Talanta
#37
of 186 outputs
Altmetric has tracked 18,217,940 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,716 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 58% 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 348,552 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 58% of its contemporaries.
We're also able to compare this research output to 186 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.