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Relative importance of perceived physical and social neighborhood characteristics for depression: a machine learning approach

Overview of attention for article published in Social Psychiatry and Psychiatric Epidemiology, November 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users

Citations

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27 Dimensions

Readers on

mendeley
125 Mendeley
Title
Relative importance of perceived physical and social neighborhood characteristics for depression: a machine learning approach
Published in
Social Psychiatry and Psychiatric Epidemiology, November 2019
DOI 10.1007/s00127-019-01808-5
Pubmed ID
Authors

Marco Helbich, Julian Hagenauer, Hannah Roberts

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 125 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 16%
Student > Master 16 13%
Researcher 15 12%
Student > Bachelor 8 6%
Lecturer > Senior Lecturer 4 3%
Other 16 13%
Unknown 46 37%
Readers by discipline Count As %
Social Sciences 14 11%
Medicine and Dentistry 11 9%
Psychology 9 7%
Computer Science 7 6%
Engineering 5 4%
Other 20 16%
Unknown 59 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 March 2020.
All research outputs
#7,035,423
of 24,542,484 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#1,258
of 2,656 outputs
Outputs of similar age
#123,543
of 365,756 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#21
of 30 outputs
Altmetric has tracked 24,542,484 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,656 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has gotten more attention than average, scoring higher than 52% 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 365,756 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 66% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.