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Blurring Human–Machine Distinctions: Anthropomorphic Appearance in Social Robots as a Threat to Human Distinctiveness

Overview of attention for article published in International Journal of Social Robotics, January 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 423)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
5 news outlets
blogs
3 blogs
twitter
7 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
173 Dimensions

Readers on

mendeley
220 Mendeley
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Title
Blurring Human–Machine Distinctions: Anthropomorphic Appearance in Social Robots as a Threat to Human Distinctiveness
Published in
International Journal of Social Robotics, January 2016
DOI 10.1007/s12369-016-0338-y
Authors

Francesco Ferrari, Maria Paola Paladino, Jolanda Jetten

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

Geographical breakdown

Country Count As %
Japan 1 <1%
Spain 1 <1%
Australia 1 <1%
Unknown 217 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 24%
Student > Master 34 15%
Researcher 23 10%
Student > Bachelor 17 8%
Student > Doctoral Student 12 5%
Other 21 10%
Unknown 61 28%
Readers by discipline Count As %
Psychology 46 21%
Business, Management and Accounting 25 11%
Social Sciences 20 9%
Computer Science 19 9%
Engineering 14 6%
Other 22 10%
Unknown 74 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 77. 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 25 October 2023.
All research outputs
#531,481
of 24,677,985 outputs
Outputs from International Journal of Social Robotics
#9
of 423 outputs
Outputs of similar age
#9,806
of 404,005 outputs
Outputs of similar age from International Journal of Social Robotics
#1
of 9 outputs
Altmetric has tracked 24,677,985 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 423 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has done particularly well, scoring higher than 98% 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 404,005 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% 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