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Nanocomposite carbon-PDMS membranes for gas separation

Overview of attention for article published in Sensors & Actuators B: Chemical, January 2012
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Mentioned by

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1 Facebook page

Citations

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58 Dimensions

Readers on

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62 Mendeley
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Title
Nanocomposite carbon-PDMS membranes for gas separation
Published in
Sensors & Actuators B: Chemical, January 2012
DOI 10.1016/j.snb.2011.11.079
Authors

Majid Nour, Kyle Berean, Matthew J. Griffin, Glenn I. Matthews, Madhu Bhaskaran, Sharath Sriram, Kourosh Kalantar-zadeh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 27%
Student > Master 12 19%
Student > Doctoral Student 6 10%
Researcher 4 6%
Professor 4 6%
Other 6 10%
Unknown 13 21%
Readers by discipline Count As %
Engineering 24 39%
Chemistry 7 11%
Materials Science 6 10%
Chemical Engineering 4 6%
Physics and Astronomy 3 5%
Other 3 5%
Unknown 15 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 March 2012.
All research outputs
#22,778,604
of 25,394,764 outputs
Outputs from Sensors & Actuators B: Chemical
#6,245
of 6,646 outputs
Outputs of similar age
#228,625
of 250,240 outputs
Outputs of similar age from Sensors & Actuators B: Chemical
#92
of 100 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,646 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% 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 250,240 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.