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Comparative applicability of MCDM‐SWOT based techniques for developing integrated watershed management framework

Overview of attention for article published in Natural Resource Modeling, June 2023
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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17 Mendeley
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Title
Comparative applicability of MCDM‐SWOT based techniques for developing integrated watershed management framework
Published in
Natural Resource Modeling, June 2023
DOI 10.1111/nrm.12380
Authors

Ali Nasiri Khiavi, Mehdi Vafakhah, Seyed Hamidreza Sadeghi

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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 %
Unspecified 2 12%
Lecturer > Senior Lecturer 1 6%
Other 1 6%
Lecturer 1 6%
Student > Doctoral Student 1 6%
Other 3 18%
Unknown 8 47%
Readers by discipline Count As %
Unspecified 2 12%
Agricultural and Biological Sciences 2 12%
Environmental Science 1 6%
Business, Management and Accounting 1 6%
Nursing and Health Professions 1 6%
Other 3 18%
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 11 July 2023.
All research outputs
#20,443,415
of 25,123,616 outputs
Outputs from Natural Resource Modeling
#222
of 325 outputs
Outputs of similar age
#267,578
of 366,265 outputs
Outputs of similar age from Natural Resource Modeling
#2
of 3 outputs
Altmetric has tracked 25,123,616 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 325 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 16th percentile – i.e., 16% 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 366,265 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.