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Personalized support for well-being at work: an overview of the SWELL project

Overview of attention for article published in User Modeling & User-Adapted Interaction, June 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

twitter
3 tweeters

Readers on

mendeley
12 Mendeley
Title
Personalized support for well-being at work: an overview of the SWELL project
Published in
User Modeling & User-Adapted Interaction, June 2019
DOI 10.1007/s11257-019-09238-3
Authors

Wessel Kraaij, Suzan Verberne, Saskia Koldijk, Elsbeth de Korte, Saskia van Dantzig, Maya Sappelli, Muhammad Shoaib, Steven Bosems, Reinoud Achterkamp, Alberto Bonomi, John Schavemaker, Bob Hulsebosch, Thymen Wabeke, Miriam Vollenbroek-Hutten, Mark Neerincx, Marten van Sinderen

Twitter Demographics

The data shown below were collected from the profiles of 3 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 33%
Professor 2 17%
Unspecified 2 17%
Other 1 8%
Researcher 1 8%
Other 2 17%
Readers by discipline Count As %
Computer Science 7 58%
Unspecified 4 33%
Agricultural and Biological Sciences 1 8%

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 June 2019.
All research outputs
#6,789,264
of 13,260,816 outputs
Outputs from User Modeling & User-Adapted Interaction
#88
of 119 outputs
Outputs of similar age
#73,469
of 186,630 outputs
Outputs of similar age from User Modeling & User-Adapted Interaction
#3
of 4 outputs
Altmetric has tracked 13,260,816 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 119 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 26th percentile – i.e., 26% 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 186,630 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 60% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.