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Exploring Individual Differences in Online Addictions: the Role of Identity and Attachment

Overview of attention for article published in International Journal of Mental Health and Addiction, May 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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8 X users
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1 Facebook page

Citations

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103 Dimensions

Readers on

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231 Mendeley
Title
Exploring Individual Differences in Online Addictions: the Role of Identity and Attachment
Published in
International Journal of Mental Health and Addiction, May 2017
DOI 10.1007/s11469-017-9768-5
Pubmed ID
Authors

Lucia Monacis, Valeria de Palo, Mark D. Griffiths, Maria Sinatra

Abstract

Research examining the development of online addictions has grown greatly over the last decade with many studies suggesting both risk factors and protective factors. In an attempt to integrate the theories of attachment and identity formation, the present study investigated the extent to which identity styles and attachment orientations account for three types of online addiction (i.e., internet addiction, online gaming addiction, and social media addiction). The sample comprised 712 Italian students (381 males and 331 females) recruited from schools and universities who completed an offline self-report questionnaire. The findings showed that addictions to the internet, online gaming, and social media were interrelated and were predicted by common underlying risk and protective factors. Among identity styles, 'informational' and 'diffuse-avoidant' styles were risk factors, whereas 'normative' style was a protective factor. Among attachment dimensions, the 'secure' attachment orientation negatively predicted the three online addictions, and a different pattern of causal relationships were observed between the styles underlying 'anxious' and 'avoidant' attachment orientations. Hierarchical multiple regressions demonstrated that identity styles explained between 21.2 and 30% of the variance in online addictions, whereas attachment styles incrementally explained between 9.2 and 14% of the variance in the scores on the three addiction scales. These findings highlight the important role played by identity formation in the development of online addictions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 231 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 16%
Student > Bachelor 30 13%
Student > Master 29 13%
Researcher 15 6%
Student > Postgraduate 12 5%
Other 42 18%
Unknown 67 29%
Readers by discipline Count As %
Psychology 84 36%
Social Sciences 15 6%
Medicine and Dentistry 12 5%
Business, Management and Accounting 8 3%
Computer Science 8 3%
Other 30 13%
Unknown 74 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 December 2017.
All research outputs
#5,845,294
of 23,911,072 outputs
Outputs from International Journal of Mental Health and Addiction
#240
of 1,003 outputs
Outputs of similar age
#88,259
of 313,948 outputs
Outputs of similar age from International Journal of Mental Health and Addiction
#2
of 19 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done well, scoring higher than 75% 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 313,948 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 71% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.