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Mask R‐CNN‐based building extraction from VHR satellite data in operational humanitarian action: An example related to Covid‐19 response in Khartoum, Sudan

Overview of attention for article published in Transactions in GIS, May 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#18 of 439)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Mask R‐CNN‐based building extraction from VHR satellite data in operational humanitarian action: An example related to Covid‐19 response in Khartoum, Sudan
Published in
Transactions in GIS, May 2021
DOI 10.1111/tgis.12766
Pubmed ID
Authors

Dirk Tiede, Gina Schwendemann, Ahmad Alobaidi, Lorenz Wendt, Stefan Lang

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 19%
Student > Bachelor 6 13%
Student > Doctoral Student 5 10%
Researcher 4 8%
Student > Ph. D. Student 3 6%
Other 6 13%
Unknown 15 31%
Readers by discipline Count As %
Engineering 8 17%
Earth and Planetary Sciences 5 10%
Computer Science 4 8%
Environmental Science 3 6%
Medicine and Dentistry 3 6%
Other 8 17%
Unknown 17 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 01 May 2022.
All research outputs
#2,321,446
of 23,308,124 outputs
Outputs from Transactions in GIS
#18
of 439 outputs
Outputs of similar age
#60,870
of 439,719 outputs
Outputs of similar age from Transactions in GIS
#1
of 14 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 439 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 95% 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 439,719 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.