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Surface fractal dimension, water adsorption efficiency and cloud nucleation activity of insoluble aerosol

Overview of attention for article published in Scientific Reports, May 2016
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3 X users

Citations

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32 Dimensions

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41 Mendeley
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Title
Surface fractal dimension, water adsorption efficiency and cloud nucleation activity of insoluble aerosol
Published in
Scientific Reports, May 2016
DOI 10.1038/srep25504
Pubmed ID
Authors

Ari Laaksonen, Jussi Malila, Athanasios Nenes, Hui-Ming Hung, Jen-Ping Chen

Abstract

Surface porosity affects the ability of a substance to adsorb gases. The surface fractal dimension D is a measure that indicates the amount that a surface fills a space, and can thereby be used to characterize the surface porosity. Here we propose a new method for determining D, based on measuring both the water vapour adsorption isotherm of a given substance, and its ability to act as a cloud condensation nucleus when introduced to humidified air in aerosol form. We show that our method agrees well with previous methods based on measurement of nitrogen adsorption. Besides proving the usefulness of the new method for general surface characterization of materials, our results show that the surface fractal dimension is an important determinant in cloud drop formation on water insoluble particles. We suggest that a closure can be obtained between experimental critical supersaturation for cloud drop activation and that calculated based on water adsorption data, if the latter is corrected using the surface fractal dimension of the insoluble cloud nucleus.

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 27%
Researcher 8 20%
Student > Master 4 10%
Professor 4 10%
Student > Doctoral Student 2 5%
Other 5 12%
Unknown 7 17%
Readers by discipline Count As %
Engineering 7 17%
Environmental Science 6 15%
Earth and Planetary Sciences 6 15%
Chemistry 5 12%
Materials Science 3 7%
Other 4 10%
Unknown 10 24%
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 02 June 2021.
All research outputs
#14,197,198
of 22,867,327 outputs
Outputs from Scientific Reports
#67,145
of 123,509 outputs
Outputs of similar age
#158,451
of 298,754 outputs
Outputs of similar age from Scientific Reports
#1,683
of 3,186 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 123,509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 45th percentile – i.e., 45% 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 298,754 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,186 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.