↓ Skip to main content

Advances in Physiological Computing

Overview of attention for book
Attention for Chapter 10: Capturing Human Digital Memories for Assisting Memory Recall
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
22 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Capturing Human Digital Memories for Assisting Memory Recall
Chapter number 10
Book title
Advances in Physiological Computing
Published in
Human–Computer Interaction Series, March 2014
DOI 10.1007/978-1-4471-6392-3_10
Book ISBNs
978-1-4471-6391-6, 978-1-4471-6392-3
Authors

Chelsea Dobbins, Madjid Merabti, Paul Fergus, David Llewellyn-Jones, Stephen H. Fairclough, Kiel Gilleade, Dobbins, Chelsea, Merabti, Madjid, Fergus, Paul, Llewellyn-Jones, David

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 9%
Spain 1 5%
Taiwan 1 5%
Unknown 18 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 32%
Researcher 4 18%
Student > Master 3 14%
Lecturer > Senior Lecturer 2 9%
Professor 1 5%
Other 3 14%
Unknown 2 9%
Readers by discipline Count As %
Computer Science 9 41%
Medicine and Dentistry 4 18%
Psychology 2 9%
Social Sciences 2 9%
Sports and Recreations 1 5%
Other 1 5%
Unknown 3 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 24 April 2014.
All research outputs
#15,925,391
of 25,992,468 outputs
Outputs from Human–Computer Interaction Series
#1
of 1 outputs
Outputs of similar age
#125,392
of 239,143 outputs
Outputs of similar age from Human–Computer Interaction Series
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.8. This one scored the same or higher as 0 of them.
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 239,143 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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