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Unraveling Slurry Chemistry/Nanoparticle/Polymeric Membrane Adsorption Relevant to Cu Chemical Mechanical Planarization (CMP) Filtration Applications

Overview of attention for article published in ECS Journal of Solid State Science and Technology, January 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 479)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
15 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
20 Mendeley
Title
Unraveling Slurry Chemistry/Nanoparticle/Polymeric Membrane Adsorption Relevant to Cu Chemical Mechanical Planarization (CMP) Filtration Applications
Published in
ECS Journal of Solid State Science and Technology, January 2019
DOI 10.1149/2.0041905jss
Authors

T. B. Zubi, R. A. Wiencek, A. L. Mlynarski, J. M. Truffa, K. M. Wortman-Otto, C. Saucedo, M. G. Salinas, C. F. Graverson, J. J. Keleher

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 25%
Researcher 3 15%
Student > Doctoral Student 2 10%
Student > Master 2 10%
Student > Postgraduate 2 10%
Other 2 10%
Unknown 4 20%
Readers by discipline Count As %
Chemistry 8 40%
Chemical Engineering 2 10%
Agricultural and Biological Sciences 1 5%
Physics and Astronomy 1 5%
Engineering 1 5%
Other 0 0%
Unknown 7 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 18 April 2019.
All research outputs
#1,769,023
of 24,820,264 outputs
Outputs from ECS Journal of Solid State Science and Technology
#11
of 479 outputs
Outputs of similar age
#41,004
of 447,786 outputs
Outputs of similar age from ECS Journal of Solid State Science and Technology
#2
of 14 outputs
Altmetric has tracked 24,820,264 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 479 research outputs from this source. They receive a mean Attention Score of 4.0. 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 447,786 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 14 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 92% of its contemporaries.