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Method validation for (ultra)-trace element concentrations in urine for small sample volumes in large epidemiological studies: application to the population-based epidemiological multi-ethnic study…

Overview of attention for article published in Analytical Methods, January 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
15 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
1 Mendeley
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Title
Method validation for (ultra)-trace element concentrations in urine for small sample volumes in large epidemiological studies: application to the population-based epidemiological multi-ethnic study of atherosclerosis (MESA)
Published in
Analytical Methods, January 2024
DOI 10.1039/d3ay01605f
Pubmed ID
Authors

Kathrin Schilling, Ronald A Glabonjat, Olgica Balac, Marta Gálvez-Fernández, Arce Domingo-Relloso, Vesna Slavkovich, Jeff Goldsmith, Miranda R Jones, Tiffany R Sanchez, Ana Navas-Acien

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Unknown 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 31 January 2024.
All research outputs
#3,362,988
of 26,390,482 outputs
Outputs from Analytical Methods
#73
of 2,849 outputs
Outputs of similar age
#52,065
of 381,641 outputs
Outputs of similar age from Analytical Methods
#3
of 134 outputs
Altmetric has tracked 26,390,482 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,849 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done particularly well, scoring higher than 97% 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 381,641 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.