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Recent Trends and Developments in Social Software

Overview of attention for book
Cover of 'Recent Trends and Developments in Social Software'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Model for Open Semantic Hyperwikis
  3. Altmetric Badge
    Chapter 2 Implementing a Corporate Weblog for SAP
  4. Altmetric Badge
    Chapter 3 Effect of Knowledge Management on Organizational Performance: Enabling Thought Leadership and Social Capital through Technology Management
  5. Altmetric Badge
    Chapter 4 Finding Elite Voters in Daum View: Using Media Credibility Measures
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    Chapter 5 A Social Network System Based on an Ontology in the Korea Institute of Oriental Medicine
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    Chapter 6 Semantic Web and Contextual Information: Semantic Network Analysis of Online Journalistic Texts
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    Chapter 7 Semantic Twitter: Analyzing Tweets for Real-Time Event Notification
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    Chapter 8 Linking Topics of News and Blogs with Wikipedia for Complementary Navigation
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    Chapter 9 A User-Oriented Splog Filtering Based on a Machine Learning
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    Chapter 10 Generating Researcher Networks with Identified Persons on a Semantic Service Platform
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    Chapter 11 Towards Socially-Responsible Management of Personal Information in Social Networks
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    Chapter 12 Porting Social Media Contributions with SIOC
  14. Altmetric Badge
    Chapter 13 Reed’s Law and How Multiple Identities Make the Long Tail Just That Little Bit Longer
  15. Altmetric Badge
    Chapter 14 Memoz – Spatial Weblogging
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    Chapter 15 Campus Móvil: Designing a Mobile Web 2.0 Startup for Higher Education Uses
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    Chapter 16 The Impact of Politics 2.0 in the Spanish Social Media: Tracking the Conversations around the Audiovisual Political Wars
  18. Altmetric Badge
    Chapter 17 Extended Identity for Social Networks
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    Chapter 18 NeoVictorian, Nobitic, and Narrative: Ancient Anticipations and the Meaning of Weblogs
Attention for Chapter 13: Reed’s Law and How Multiple Identities Make the Long Tail Just That Little Bit Longer
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
9 Mendeley
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Chapter title
Reed’s Law and How Multiple Identities Make the Long Tail Just That Little Bit Longer
Chapter number 13
Book title
Recent Trends and Developments in Social Software
Published in
ADS, January 2010
DOI 10.1007/978-3-642-16581-8_13
Book ISBNs
978-3-64-216580-1, 978-3-64-216581-8
Authors

David Cushman, Cushman, David

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

Geographical breakdown

Country Count As %
China 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Lecturer > Senior Lecturer 1 11%
Student > Doctoral Student 1 11%
Student > Ph. D. Student 1 11%
Student > Master 1 11%
Researcher 1 11%
Other 1 11%
Unknown 3 33%
Readers by discipline Count As %
Computer Science 3 33%
Business, Management and Accounting 1 11%
Decision Sciences 1 11%
Social Sciences 1 11%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 December 2022.
All research outputs
#6,580,918
of 23,283,373 outputs
Outputs from ADS
#8,201
of 37,759 outputs
Outputs of similar age
#41,618
of 165,935 outputs
Outputs of similar age from ADS
#240
of 805 outputs
Altmetric has tracked 23,283,373 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 37,759 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 76% 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 165,935 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 805 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.