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Machine learning-based ability to classify psychosis and early stages of disease through parenting and attachment-related variables is associated with social cognition

Overview of attention for article published in BMC Psychology, March 2021
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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6 X users

Citations

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9 Dimensions

Readers on

mendeley
84 Mendeley
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Title
Machine learning-based ability to classify psychosis and early stages of disease through parenting and attachment-related variables is associated with social cognition
Published in
BMC Psychology, March 2021
DOI 10.1186/s40359-021-00552-3
Pubmed ID
Authors

Linda A. Antonucci, Alessandra Raio, Giulio Pergola, Barbara Gelao, Marco Papalino, Antonio Rampino, Ileana Andriola, Giuseppe Blasi, Alessandro Bertolino

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 12%
Student > Ph. D. Student 6 7%
Researcher 4 5%
Student > Doctoral Student 4 5%
Student > Master 4 5%
Other 11 13%
Unknown 45 54%
Readers by discipline Count As %
Psychology 15 18%
Medicine and Dentistry 6 7%
Nursing and Health Professions 4 5%
Computer Science 3 4%
Engineering 2 2%
Other 7 8%
Unknown 47 56%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 April 2021.
All research outputs
#14,736,776
of 23,885,338 outputs
Outputs from BMC Psychology
#588
of 885 outputs
Outputs of similar age
#224,514
of 426,816 outputs
Outputs of similar age from BMC Psychology
#27
of 35 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 885 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.0. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 426,816 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.