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Effect of particle surface treatment and blending method on flexural properties of injection-molded cenosphere/HDPE syntactic foams

Overview of attention for article published in Journal of Materials Science, January 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
4 X users

Citations

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72 Dimensions

Readers on

mendeley
41 Mendeley
Title
Effect of particle surface treatment and blending method on flexural properties of injection-molded cenosphere/HDPE syntactic foams
Published in
Journal of Materials Science, January 2016
DOI 10.1007/s10853-015-9697-2
Authors

B. R. Bharath Kumar, Mrityunjay Doddamani, Steven E. Zeltmann, Nikhil Gupta, Uzma, S. Gurupadu, R. R. N. Sailaja

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 %
Latvia 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 15%
Researcher 5 12%
Student > Master 5 12%
Student > Doctoral Student 4 10%
Student > Postgraduate 3 7%
Other 8 20%
Unknown 10 24%
Readers by discipline Count As %
Engineering 17 41%
Materials Science 5 12%
Chemistry 3 7%
Immunology and Microbiology 1 2%
Chemical Engineering 1 2%
Other 2 5%
Unknown 12 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 April 2017.
All research outputs
#6,472,092
of 22,957,478 outputs
Outputs from Journal of Materials Science
#843
of 4,629 outputs
Outputs of similar age
#104,296
of 394,016 outputs
Outputs of similar age from Journal of Materials Science
#6
of 29 outputs
Altmetric has tracked 22,957,478 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 4,629 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 81% 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 394,016 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 72% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.