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An improved SPE-LC-MS/MS method for multiclass endocrine disrupting compound determination in tropical estuarine sediments

Overview of attention for article published in Talanta, May 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
3 X users

Citations

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37 Dimensions

Readers on

mendeley
96 Mendeley
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Title
An improved SPE-LC-MS/MS method for multiclass endocrine disrupting compound determination in tropical estuarine sediments
Published in
Talanta, May 2017
DOI 10.1016/j.talanta.2017.05.064
Pubmed ID
Authors

Tuan Fauzan Tuan Omar, Ahmad Zaharin Aris, Fatimah Md. Yusoff, Shuhaimi Mustafa

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 18%
Student > Bachelor 12 13%
Student > Master 12 13%
Researcher 9 9%
Student > Doctoral Student 7 7%
Other 8 8%
Unknown 31 32%
Readers by discipline Count As %
Chemistry 19 20%
Environmental Science 14 15%
Engineering 7 7%
Agricultural and Biological Sciences 4 4%
Earth and Planetary Sciences 3 3%
Other 11 11%
Unknown 38 40%
Attention Score in Context

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 17 May 2019.
All research outputs
#15,729,797
of 26,368,346 outputs
Outputs from Talanta
#2,793
of 6,208 outputs
Outputs of similar age
#174,105
of 332,001 outputs
Outputs of similar age from Talanta
#31
of 99 outputs
Altmetric has tracked 26,368,346 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,208 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 54% 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 332,001 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.