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

Mentioned by

twitter
2 X users

Citations

dimensions_citation
34 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 2 X users 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 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 7 7%
Unknown 32 33%
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 10 10%
Unknown 39 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 May 2019.
All research outputs
#16,584,977
of 25,382,440 outputs
Outputs from Talanta
#2,994
of 5,990 outputs
Outputs of similar age
#196,491
of 327,119 outputs
Outputs of similar age from Talanta
#37
of 98 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,990 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 327,119 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 98 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 61% of its contemporaries.