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On the validity of the centrality hypothesis in cross-sectional between-subject networks of psychopathology

Overview of attention for article published in BMC Medicine, October 2020
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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)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
29 X users

Readers on

mendeley
133 Mendeley
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Title
On the validity of the centrality hypothesis in cross-sectional between-subject networks of psychopathology
Published in
BMC Medicine, October 2020
DOI 10.1186/s12916-020-01740-5
Pubmed ID
Authors

Tobias R. Spiller, Ofir Levi, Yuval Neria, Benjamin Suarez-Jimenez, Yair Bar-Haim, Amit Lazarov

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 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 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 133 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 8%
Researcher 11 8%
Student > Bachelor 5 4%
Other 4 3%
Student > Master 4 3%
Other 13 10%
Unknown 85 64%
Readers by discipline Count As %
Psychology 30 23%
Medicine and Dentistry 4 3%
Social Sciences 3 2%
Agricultural and Biological Sciences 1 <1%
Mathematics 1 <1%
Other 3 2%
Unknown 91 68%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 09 January 2023.
All research outputs
#1,837,881
of 25,138,857 outputs
Outputs from BMC Medicine
#1,301
of 3,937 outputs
Outputs of similar age
#47,569
of 423,650 outputs
Outputs of similar age from BMC Medicine
#49
of 119 outputs
Altmetric has tracked 25,138,857 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,937 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.6. This one has gotten more attention than average, scoring higher than 66% 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 423,650 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 119 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 59% of its contemporaries.