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Reliable nanomaterial classification of powders using the volume-specific surface area method

Overview of attention for article published in Journal of Nanoparticle Research, February 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

policy
1 policy source
twitter
2 X users

Citations

dimensions_citation
75 Dimensions

Readers on

mendeley
66 Mendeley
Title
Reliable nanomaterial classification of powders using the volume-specific surface area method
Published in
Journal of Nanoparticle Research, February 2017
DOI 10.1007/s11051-017-3741-x
Pubmed ID
Authors

Wendel Wohlleben, Johannes Mielke, Alvise Bianchin, Antoine Ghanem, Harald Freiberger, Hubert Rauscher, Marion Gemeinert, Vasile-Dan Hodoroaba

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 18%
Researcher 8 12%
Other 5 8%
Student > Bachelor 5 8%
Student > Doctoral Student 5 8%
Other 13 20%
Unknown 18 27%
Readers by discipline Count As %
Chemistry 13 20%
Engineering 6 9%
Materials Science 6 9%
Agricultural and Biological Sciences 5 8%
Environmental Science 5 8%
Other 10 15%
Unknown 21 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 24 April 2023.
All research outputs
#7,304,457
of 26,017,215 outputs
Outputs from Journal of Nanoparticle Research
#234
of 1,040 outputs
Outputs of similar age
#128,310
of 435,774 outputs
Outputs of similar age from Journal of Nanoparticle Research
#4
of 12 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,040 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 76% 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 435,774 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 69% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.