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Linear modeling of the soil-water partition coefficient normalized to organic carbon content by reversed-phase thin-layer chromatography

Overview of attention for article published in Journal of Chromatography A, August 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Linear modeling of the soil-water partition coefficient normalized to organic carbon content by reversed-phase thin-layer chromatography
Published in
Journal of Chromatography A, August 2016
DOI 10.1016/j.chroma.2016.06.063
Pubmed ID
Authors

Filip Andrić, Sandra Šegan, Aleksandra Dramićanin, Helena Majstorović, Dušanka Milojković-Opsenica

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 23%
Student > Ph. D. Student 3 23%
Professor 3 23%
Student > Bachelor 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Chemistry 5 38%
Environmental Science 2 15%
Pharmacology, Toxicology and Pharmaceutical Science 2 15%
Agricultural and Biological Sciences 1 8%
Unknown 3 23%

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 April 2021.
All research outputs
#6,197,772
of 19,069,422 outputs
Outputs from Journal of Chromatography A
#2,509
of 11,792 outputs
Outputs of similar age
#123,988
of 334,594 outputs
Outputs of similar age from Journal of Chromatography A
#9
of 134 outputs
Altmetric has tracked 19,069,422 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,792 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 28th percentile – i.e., 28% 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 334,594 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 61% 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 94% of its contemporaries.