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Hydrogeological modeling for improving groundwater monitoring network and strategies

Overview of attention for article published in Applied Water Science, September 2016
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Mentioned by

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1 Facebook page

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
26 Mendeley
Title
Hydrogeological modeling for improving groundwater monitoring network and strategies
Published in
Applied Water Science, September 2016
DOI 10.1007/s13201-016-0469-1
Authors

Jay Krishna Thakur

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 19%
Student > Doctoral Student 3 12%
Other 3 12%
Lecturer 2 8%
Student > Ph. D. Student 2 8%
Other 4 15%
Unknown 7 27%
Readers by discipline Count As %
Engineering 9 35%
Environmental Science 3 12%
Earth and Planetary Sciences 3 12%
Arts and Humanities 1 4%
Agricultural and Biological Sciences 1 4%
Other 2 8%
Unknown 7 27%
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 15 September 2016.
All research outputs
#20,341,859
of 22,888,307 outputs
Outputs from Applied Water Science
#155
of 186 outputs
Outputs of similar age
#279,630
of 322,146 outputs
Outputs of similar age from Applied Water Science
#6
of 9 outputs
Altmetric has tracked 22,888,307 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 186 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 322,146 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 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.