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Discrimination of urinary tract infection pathogens by means of their growth profiles using surface enhanced Raman scattering

Overview of attention for article published in Analytical & Bioanalytical Chemistry, August 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
32 Mendeley
Title
Discrimination of urinary tract infection pathogens by means of their growth profiles using surface enhanced Raman scattering
Published in
Analytical & Bioanalytical Chemistry, August 2015
DOI 10.1007/s00216-015-8950-5
Pubmed ID
Authors

Ertug Avci, Nur Selin Kaya, Gizem Ucankus, Mustafa Culha

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 16%
Student > Bachelor 4 13%
Student > Ph. D. Student 4 13%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Other 4 13%
Unknown 10 31%
Readers by discipline Count As %
Chemistry 6 19%
Agricultural and Biological Sciences 4 13%
Pharmacology, Toxicology and Pharmaceutical Science 3 9%
Nursing and Health Professions 2 6%
Engineering 2 6%
Other 4 13%
Unknown 11 34%
Attention Score in Context

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 11 January 2024.
All research outputs
#8,262,981
of 25,377,790 outputs
Outputs from Analytical & Bioanalytical Chemistry
#1,975
of 9,619 outputs
Outputs of similar age
#91,063
of 277,655 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#17
of 179 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 77% 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 277,655 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 66% of its contemporaries.
We're also able to compare this research output to 179 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.