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A non-gradient based algorithm for the determination of surface tension from a pendant drop: Application to low Bond number drop shapes

Overview of attention for article published in Journal of Colloid & Interface Science, February 2009
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Mentioned by

patent
1 patent

Readers on

mendeley
114 Mendeley
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Article details
Title
A non-gradient based algorithm for the determination of surface tension from a pendant drop: Application to low Bond number drop shapes
Published in
Journal of Colloid & Interface Science, February 2009
DOI 10.1016/j.jcis.2009.01.074
Pubmed ID
Authors

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 2%
Spain 1 <1%
Denmark 1 <1%
Unknown 110 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 34 30%
Researcher 15 13%
Professor 10 9%
Student > Bachelor 9 8%
Student > Master 9 8%
Other 19 17%
Unknown 18 16%
Readers by discipline
Readers by discipline Count As %
Engineering 31 27%
Chemical Engineering 17 15%
Chemistry 15 13%
Physics and Astronomy 6 5%
Materials Science 4 4%
Other 12 11%
Unknown 29 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 November 2013.
All research outputs
#12,343,598
of 34,358,242 outputs
Outputs from Journal of Colloid & Interface Science
#2,854
of 10,150 outputs
Outputs of similar age
#85,492
of 255,618 outputs
Outputs of similar age from Journal of Colloid & Interface Science
#12
of 45 outputs
Altmetric has tracked 34,358,242 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,150 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 17th percentile – i.e., 17% 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 255,618 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.