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Evaluating data-centric process approaches: Does the human factor factor in?

Overview of attention for article published in Software and Systems Modeling, February 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
7 X users

Citations

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16 Dimensions

Readers on

mendeley
52 Mendeley
Title
Evaluating data-centric process approaches: Does the human factor factor in?
Published in
Software and Systems Modeling, February 2016
DOI 10.1007/s10270-015-0491-z
Authors

Hajo A. Reijers, Irene Vanderfeesten, Marijn G. A. Plomp, Pieter Van Gorp, Dirk Fahland, Wim L. M. van der Crommert, H. Daniel Diaz Garcia

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Belgium 1 2%
Brazil 1 2%
Unknown 49 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 15%
Professor > Associate Professor 7 13%
Student > Master 7 13%
Student > Ph. D. Student 6 12%
Student > Doctoral Student 5 10%
Other 6 12%
Unknown 13 25%
Readers by discipline Count As %
Computer Science 24 46%
Engineering 5 10%
Business, Management and Accounting 4 8%
Economics, Econometrics and Finance 2 4%
Unspecified 1 2%
Other 0 0%
Unknown 16 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 March 2016.
All research outputs
#6,176,761
of 23,849,058 outputs
Outputs from Software and Systems Modeling
#66
of 721 outputs
Outputs of similar age
#98,935
of 405,066 outputs
Outputs of similar age from Software and Systems Modeling
#1
of 9 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 721 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 87% 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 405,066 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 75% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them