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Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS

Overview of attention for article published in The Scientific World Journal, November 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
66 Mendeley
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Title
Comparison of Groundwater Level Models Based on Artificial Neural Networks and ANFIS
Published in
The Scientific World Journal, November 2015
DOI 10.1155/2015/742138
Pubmed ID
Authors

Nevenka Djurovic, Milka Domazet, Ruzica Stricevic, Vesna Pocuca, Velibor Spalevic, Radmila Pivic, Enika Gregoric, Uros Domazet

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 23%
Student > Bachelor 11 17%
Professor 5 8%
Student > Master 4 6%
Researcher 3 5%
Other 12 18%
Unknown 16 24%
Readers by discipline Count As %
Engineering 22 33%
Agricultural and Biological Sciences 8 12%
Earth and Planetary Sciences 7 11%
Environmental Science 4 6%
Business, Management and Accounting 2 3%
Other 7 11%
Unknown 16 24%
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 09 October 2023.
All research outputs
#8,533,995
of 25,371,288 outputs
Outputs from The Scientific World Journal
#792
of 2,748 outputs
Outputs of similar age
#124,015
of 393,281 outputs
Outputs of similar age from The Scientific World Journal
#8
of 20 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,748 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 53% 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 393,281 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 53% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.