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How well suited are current thermodynamic models to predict or interpret the composition of (Ba,Sr)SO4 solid-solutions in geothermal scalings?

Overview of attention for article published in Geothermal Energy, June 2017
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1 X user

Citations

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17 Mendeley
Title
How well suited are current thermodynamic models to predict or interpret the composition of (Ba,Sr)SO4 solid-solutions in geothermal scalings?
Published in
Geothermal Energy, June 2017
DOI 10.1186/s40517-017-0068-x
Authors

Frank Heberling, Dieter Schild, Detlev Degering, Thorsten Schäfer

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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 41%
Researcher 2 12%
Other 1 6%
Student > Master 1 6%
Student > Postgraduate 1 6%
Other 0 0%
Unknown 5 29%
Readers by discipline Count As %
Earth and Planetary Sciences 7 41%
Environmental Science 1 6%
Agricultural and Biological Sciences 1 6%
Materials Science 1 6%
Unknown 7 41%
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 28 June 2017.
All research outputs
#20,429,992
of 22,982,639 outputs
Outputs from Geothermal Energy
#155
of 188 outputs
Outputs of similar age
#275,301
of 315,729 outputs
Outputs of similar age from Geothermal Energy
#7
of 11 outputs
Altmetric has tracked 22,982,639 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 188 research outputs from this source. They receive a mean Attention Score of 3.1. 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 315,729 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 11 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.