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The thematic modelling of subtext

Overview of attention for article published in Multimedia Tools and Applications, April 2018
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Mentioned by

twitter
1 X user

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
14 Mendeley
Title
The thematic modelling of subtext
Published in
Multimedia Tools and Applications, April 2018
DOI 10.1007/s11042-018-5972-y
Authors

Charlie Hargood, David E. Millard, Mark J. Weal

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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 36%
Lecturer 2 14%
Student > Bachelor 2 14%
Student > Doctoral Student 1 7%
Unspecified 1 7%
Other 1 7%
Unknown 2 14%
Readers by discipline Count As %
Computer Science 7 50%
Arts and Humanities 1 7%
Unspecified 1 7%
Economics, Econometrics and Finance 1 7%
Unknown 4 29%
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 27 July 2018.
All research outputs
#16,223,992
of 23,906,448 outputs
Outputs from Multimedia Tools and Applications
#1,000
of 4,321 outputs
Outputs of similar age
#211,626
of 328,829 outputs
Outputs of similar age from Multimedia Tools and Applications
#23
of 27 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,321 research outputs from this source. They receive a mean Attention Score of 1.3. This one has gotten more attention than average, scoring higher than 62% 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 328,829 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.