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Let's Dance! The Equivocation in Chalmers' Dancing Qualia Argument

Overview of attention for article published in Minds and Machines, November 1998
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Mentioned by

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1 Facebook page

Citations

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5 Dimensions

Readers on

mendeley
14 Mendeley
Title
Let's Dance! The Equivocation in Chalmers' Dancing Qualia Argument
Published in
Minds and Machines, November 1998
DOI 10.1023/a:1008273402702
Authors

Bram van Heuveln, Eric Dietrich, Michiharu Oshima

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 %
Italy 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 36%
Student > Master 4 29%
Other 2 14%
Student > Ph. D. Student 2 14%
Professor > Associate Professor 1 7%
Other 0 0%
Readers by discipline Count As %
Philosophy 10 71%
Psychology 2 14%
Arts and Humanities 1 7%
Social Sciences 1 7%
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 09 December 2014.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Minds and Machines
#320
of 336 outputs
Outputs of similar age
#40,319
of 41,240 outputs
Outputs of similar age from Minds and Machines
#4
of 4 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 336 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 1st percentile – i.e., 1% 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 41,240 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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.