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Application of machine learning regressors in estimating the thermoelectric performance of Bi2Te3-based materials

Overview of attention for article published in Sensors & Actuators A: Physical, March 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Application of machine learning regressors in estimating the thermoelectric performance of Bi2Te3-based materials
Published in
Sensors & Actuators A: Physical, March 2023
DOI 10.1016/j.sna.2023.114193
Authors

Y.S. Wudil, A. Imam, M.A. Gondal, U.F. Ahmad, Mohammed A. Al-Osta

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 20%
Unspecified 2 13%
Student > Ph. D. Student 1 7%
Student > Doctoral Student 1 7%
Lecturer 1 7%
Other 0 0%
Unknown 7 47%
Readers by discipline Count As %
Unspecified 2 13%
Business, Management and Accounting 1 7%
Computer Science 1 7%
Physics and Astronomy 1 7%
Energy 1 7%
Other 2 13%
Unknown 7 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 26 February 2023.
All research outputs
#6,677,517
of 26,139,724 outputs
Outputs from Sensors & Actuators A: Physical
#1,078
of 3,689 outputs
Outputs of similar age
#114,943
of 428,894 outputs
Outputs of similar age from Sensors & Actuators A: Physical
#1
of 5 outputs
Altmetric has tracked 26,139,724 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,689 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 70% 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 428,894 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 73% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them