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Guide to Mobile Data Analytics in Refugee Scenarios

Overview of attention for book
Cover of 'Guide to Mobile Data Analytics in Refugee Scenarios'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to the Data for Refugees Challenge on Mobility of Syrian Refugees in Turkey
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    Chapter 2 Call Detail Records to Obtain Estimates of Forcibly Displaced Populations
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    Chapter 3 Mobile Phone Data for Children on the Move: Challenges and Opportunities
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    Chapter 4 Coding Boot Camps for Refugees
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    Chapter 5 “Do No Harm” in the Age of Big Data: Data, Ethics, and the Refugees
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    Chapter 6 Pioneering Predictive Analytics for Decision-Making in Forced Displacement Contexts
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    Chapter 7 Measuring Fine-Grained Multidimensional Integration Using Mobile Phone Metadata: The Case of Syrian Refugees in Turkey
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    Chapter 8 Towards an Understanding of Refugee Segregation, Isolation, Homophily and Ultimately Integration in Turkey Using Call Detail Records
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    Chapter 9 Using Call Data and Stigmergic Similarity to Assess the Integration of Syrian Refugees in Turkey
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    Chapter 10 Integration of Syrian Refugees: Insights from D4R, Media Events and Housing Market Data
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    Chapter 11 Quantified Understanding of Syrian Refugee Integration in Turkey
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    Chapter 12 Syrian Refugee Integration in Turkey: Evidence from Call Detail Records
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    Chapter 13 Assessing Refugees’ Onward Mobility with Mobile Phone Data—A Case Study of (Syrian) Refugees in Turkey
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    Chapter 14 Segregation and Sentiment: Estimating Refugee Segregation and Its Effects Using Digital Trace Data
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    Chapter 15 Measuring and Mitigating Behavioural Segregation as an Optimisation Problem: The Case of Syrian Refugees in Turkey
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    Chapter 16 Seasonal Labor Migration Among Syrian Refugees and Urban Deep Map for Integration in Turkey
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    Chapter 17 Refugees in Undeclared Employment—A Case Study in Turkey
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    Chapter 18 The Use of Big Mobile Data to Gain Multilayered Insights for Syrian Refugee Crisis
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    Chapter 19 Improve Education Opportunities for Better Integration of Syrian Refugees in Turkey
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    Chapter 20 Optimizing the Access to Healthcare Services in Dense Refugee Hosting Urban Areas: A Case for Istanbul
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    Chapter 21 Characterizing the Mobile Phone Use Patterns of Refugee-Hosting Provinces in Turkey
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    Chapter 22 Refugee Mobility: Evidence from Phone Data in Turkey
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    Chapter 23 Leveraging Open Algorithms (OPAL) for the Safe, Ethical, and Scalable Use of Private Sector Data in Crisis Contexts
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    Chapter 24 The Potential and Practice of Data Collaboratives for Migration
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    Chapter 25 Policy Implications of the D4R Challenge
Attention for Chapter 3: Mobile Phone Data for Children on the Move: Challenges and Opportunities
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
27 X users

Citations

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19 Dimensions

Readers on

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6 Mendeley
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Chapter title
Mobile Phone Data for Children on the Move: Challenges and Opportunities
Chapter number 3
Book title
Guide to Mobile Data Analytics in Refugee Scenarios
Published in
arXiv, September 2019
DOI 10.1007/978-3-030-12554-7_3
Book ISBNs
978-3-03-012553-0, 978-3-03-012554-7
Authors

Vedran Sekara, Elisa Omodei, Laura Healy, Jan Beise, Claus Hansen, Danzhen You, Saskia Blume, Manuel Garcia-Herranz

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Student > Master 2 33%
Researcher 1 17%
Readers by discipline Count As %
Physics and Astronomy 3 50%
Nursing and Health Professions 1 17%
Economics, Econometrics and Finance 1 17%
Social Sciences 1 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 22 January 2020.
All research outputs
#2,078,783
of 25,630,321 outputs
Outputs from arXiv
#32,545
of 933,628 outputs
Outputs of similar age
#42,053
of 352,373 outputs
Outputs of similar age from arXiv
#775
of 20,518 outputs
Altmetric has tracked 25,630,321 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 933,628 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 96% 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 352,373 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 20,518 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.