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Defining the optimal morphology of Rhn nanoparticles for efficient hydrazine adsorption: a DFT-D3 study

Overview of attention for article published in Journal of Materials Science, April 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
8 Mendeley
Title
Defining the optimal morphology of Rhn nanoparticles for efficient hydrazine adsorption: a DFT-D3 study
Published in
Journal of Materials Science, April 2019
DOI 10.1007/s10853-019-03579-5
Authors

Yanbin He, Jingxian Yu, Haishun Wu, Jianfeng Jia

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Lecturer > Senior Lecturer 1 13%
Professor 1 13%
Student > Master 1 13%
Researcher 1 13%
Other 2 25%
Readers by discipline Count As %
Chemistry 4 50%
Chemical Engineering 2 25%
Materials Science 1 13%
Physics and Astronomy 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 11 April 2019.
All research outputs
#4,057,517
of 23,140,503 outputs
Outputs from Journal of Materials Science
#238
of 4,642 outputs
Outputs of similar age
#84,820
of 351,532 outputs
Outputs of similar age from Journal of Materials Science
#3
of 44 outputs
Altmetric has tracked 23,140,503 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,642 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 94% 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 351,532 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 75% of its contemporaries.
We're also able to compare this research output to 44 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 93% of its contemporaries.