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Building Stock Classification Using Machine Learning: A Case Study for Oslo, Norway

Overview of attention for article published in Frontiers in Earth Science, June 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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7 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Building Stock Classification Using Machine Learning: A Case Study for Oslo, Norway
Published in
Frontiers in Earth Science, June 2022
DOI 10.3389/feart.2022.886145
Authors

Federica Ghione, Steffen Mæland, Abdelghani Meslem, Volker Oye

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 14%
Professor 2 9%
Student > Master 2 9%
Student > Bachelor 1 5%
Student > Doctoral Student 1 5%
Other 1 5%
Unknown 12 55%
Readers by discipline Count As %
Engineering 6 27%
Environmental Science 1 5%
Arts and Humanities 1 5%
Social Sciences 1 5%
Earth and Planetary Sciences 1 5%
Other 0 0%
Unknown 12 55%
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 23 July 2022.
All research outputs
#19,961,252
of 24,532,617 outputs
Outputs from Frontiers in Earth Science
#2,687
of 5,756 outputs
Outputs of similar age
#299,198
of 404,711 outputs
Outputs of similar age from Frontiers in Earth Science
#167
of 410 outputs
Altmetric has tracked 24,532,617 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 5,756 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 38th percentile – i.e., 38% 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 404,711 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 410 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.