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Cognitive computing for customer profiling: meta classification for gender prediction

Overview of attention for article published in Electronic Markets, February 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
34 Mendeley
Title
Cognitive computing for customer profiling: meta classification for gender prediction
Published in
Electronic Markets, February 2019
DOI 10.1007/s12525-019-00336-z
Authors

Robin Hirt, Niklas Kühl, Gerhard Satzger

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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Master 5 15%
Lecturer 3 9%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Other 4 12%
Unknown 10 29%
Readers by discipline Count As %
Business, Management and Accounting 10 29%
Computer Science 5 15%
Social Sciences 2 6%
Decision Sciences 1 3%
Economics, Econometrics and Finance 1 3%
Other 2 6%
Unknown 13 38%
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 22 February 2019.
All research outputs
#13,061,231
of 23,130,383 outputs
Outputs from Electronic Markets
#206
of 569 outputs
Outputs of similar age
#166,799
of 352,934 outputs
Outputs of similar age from Electronic Markets
#9
of 16 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 569 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has gotten more attention than average, scoring higher than 62% 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 352,934 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 52% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.