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Data-Centric Artificial Intelligence

Overview of attention for article published in Business & Information Systems Engineering, March 2024
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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 (#31 of 405)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
2 news outlets
twitter
1 X user

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
43 Mendeley
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Title
Data-Centric Artificial Intelligence
Published in
Business & Information Systems Engineering, March 2024
DOI 10.1007/s12599-024-00857-8
Authors

Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger

Timeline

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X Demographics

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 14%
Student > Ph. D. Student 5 12%
Student > Master 4 9%
Student > Bachelor 2 5%
Lecturer > Senior Lecturer 1 2%
Other 1 2%
Unknown 24 56%
Readers by discipline Count As %
Computer Science 10 23%
Engineering 4 9%
Agricultural and Biological Sciences 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 25 58%
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 19 August 2024.
All research outputs
#2,731,028
of 26,496,895 outputs
Outputs from Business & Information Systems Engineering
#31
of 405 outputs
Outputs of similar age
#42,457
of 356,833 outputs
Outputs of similar age from Business & Information Systems Engineering
#1
of 12 outputs
Altmetric has tracked 26,496,895 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 405 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 92% 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 356,833 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 88% of its contemporaries.
We're also able to compare this research output to 12 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 91% of its contemporaries.