| Title |
Datenschutz-konformes Löschen personenbezogener Daten in betrieblichen Anwendungssystemen – Methodik und Praxisempfehlungen mit Blick auf die EU DS-GVO
|
|---|---|
| Published in |
HMD Praxis der Wirtschaftsinformatik, June 2017
|
| DOI | 10.1365/s40702-017-0333-2 |
| Authors |
Wilhelm Berning, Kyrill Meyer, Lutz Keppeler |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 10% |
| Unknown | 9 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 60% |
| Student > Master | 2 | 20% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 30% |
| Business, Management and Accounting | 2 | 20% |
| Economics, Econometrics and Finance | 2 | 20% |
| Engineering | 1 | 10% |
| Unknown | 2 | 20% |
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 09 June 2017.
All research outputs
#12,924,686
of 22,979,862 outputs
Outputs from HMD Praxis der Wirtschaftsinformatik
#36
of 130 outputs
Outputs of similar age
#149,348
of 317,259 outputs
Outputs of similar age from HMD Praxis der Wirtschaftsinformatik
#3
of 6 outputs
Altmetric has tracked 22,979,862 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 130 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 68% 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 317,259 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.