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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 (56th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
6 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

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 50%
Lecturer > Senior Lecturer 1 17%
Unspecified 1 17%
Student > Ph. D. Student 1 17%
Readers by discipline Count As %
Business, Management and Accounting 2 33%
Unspecified 1 17%
Mathematics 1 17%
Computer Science 1 17%
Chemistry 1 17%
Other 0 0%

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
#6,888,101
of 13,401,642 outputs
Outputs from Electronic Markets
#102
of 340 outputs
Outputs of similar age
#108,232
of 253,510 outputs
Outputs of similar age from Electronic Markets
#2
of 11 outputs
Altmetric has tracked 13,401,642 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 340 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 69% 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 253,510 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 56% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.