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Criteria determination of analytic hierarchy process using a topic model

Overview of attention for article published in Expert Systems with Applications, May 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
65 Mendeley
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Article details
Title
Criteria determination of analytic hierarchy process using a topic model
Published in
Expert Systems with Applications, May 2021
DOI 10.1016/j.eswa.2020.114306
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 65 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 %
Unknown 65 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 8 12%
Unspecified 7 11%
Student > Master 6 9%
Researcher 5 8%
Student > Doctoral Student 3 5%
Other 9 14%
Unknown 27 42%
Readers by discipline
Readers by discipline Count As %
Unspecified 7 11%
Engineering 6 9%
Business, Management and Accounting 5 8%
Decision Sciences 4 6%
Computer Science 3 5%
Other 10 15%
Unknown 30 46%
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 24 April 2023.
All research outputs
#9,514,998
of 27,789,879 outputs
Outputs from Expert Systems with Applications
#822
of 4,606 outputs
Outputs of similar age
#183,455
of 461,401 outputs
Outputs of similar age from Expert Systems with Applications
#20
of 67 outputs
Altmetric has tracked 27,789,879 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,606 research outputs from this source. They receive a mean Attention Score of 2.8. This one has gotten more attention than average, scoring higher than 61% 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 461,401 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 55% of its contemporaries.
We're also able to compare this research output to 67 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 61% of its contemporaries.