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Data Mining mit unsicheren Daten

Overview of attention for article published in HMD Praxis der Wirtschaftsinformatik, March 2018
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

mendeley
11 Mendeley
Title
Data Mining mit unsicheren Daten
Published in
HMD Praxis der Wirtschaftsinformatik, March 2018
DOI 10.1365/s40702-018-0419-5
Authors

Florian Kellner, Nadine Schröder

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 27%
Professor 2 18%
Student > Master 2 18%
Professor > Associate Professor 1 9%
Unknown 3 27%
Readers by discipline Count As %
Computer Science 2 18%
Business, Management and Accounting 2 18%
Economics, Econometrics and Finance 2 18%
Biochemistry, Genetics and Molecular Biology 1 9%
Decision Sciences 1 9%
Other 0 0%
Unknown 3 27%
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 10 April 2018.
All research outputs
#20,480,611
of 23,041,514 outputs
Outputs from HMD Praxis der Wirtschaftsinformatik
#126
of 131 outputs
Outputs of similar age
#291,403
of 330,044 outputs
Outputs of similar age from HMD Praxis der Wirtschaftsinformatik
#3
of 3 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 131 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 1st percentile – i.e., 1% 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 330,044 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.