Report for: Social Computing and Social Media

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Chapter title	Towards Emotionally Intelligent Machines: Taking Social Contexts into Account
Chapter number	2
Book title	Social Computing and Social Media
Published in	Lecture notes in computer science, June 2016
DOI	10.1007/978-3-319-39910-2_2
Book ISBNs	978-3-31-939909-6, 978-3-31-939910-2
Authors	Han Lin, Han Yu, Chunyan Miao, Lin Qiu
Editors	Gabriele Meiselwitz

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Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Geographical breakdown

Country	Count	As %
Germany	1	100%

Demographic breakdown

Type	Count	As %
Scientists	1	100%

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country	Count	As %
Germany	1	9%
Unknown	10	91%

Demographic breakdown

Readers by professional status	Count	As %
Student > Doctoral Student	2	18%
Student > Master	2	18%
Lecturer > Senior Lecturer	1	9%
Student > Ph. D. Student	1	9%
Lecturer	1	9%
Other	1	9%
Unknown	3	27%

Readers by discipline	Count	As %
Computer Science	5	45%
Economics, Econometrics and Finance	1	9%
Social Sciences	1	9%
Engineering	1	9%
Unknown	3	27%

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 19 July 2016.

All research outputs

#8,056,249

of 10,304,405 outputs

Outputs from Lecture notes in computer science

#5,337

of 7,147 outputs

Outputs of similar age

#185,975

of 267,099 outputs

Outputs of similar age from Lecture notes in computer science

#55

of 95 outputs

Altmetric has tracked 10,304,405 research outputs across all sources so far. This one is in the 12th percentile – i.e., 12% of other outputs scored the same or lower than it.

So far Altmetric has tracked 7,147 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 14th percentile – i.e., 14% 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 267,099 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.

We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.

Social Computing and Social Media

Table of Contents

Mentioned by

Citations

Readers on

Twitter Demographics

Geographical breakdown

Demographic breakdown

Mendeley readers

Geographical breakdown

Demographic breakdown

Attention Score in Context