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Mental State of Inpatients With COVID-19: A Computational Psychiatry Approach

Overview of attention for article published in Frontiers in Psychiatry, April 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
4 X users

Citations

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4 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Mental State of Inpatients With COVID-19: A Computational Psychiatry Approach
Published in
Frontiers in Psychiatry, April 2022
DOI 10.3389/fpsyt.2022.801135
Pubmed ID
Authors

Mikhail Yu. Sorokin, Ekaterina I. Palchikova, Andrey A. Kibitov, Evgeny D. Kasyanov, Maria A. Khobeysh, Elena Yu. Zubova

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 11%
Lecturer 1 11%
Student > Bachelor 1 11%
Professor 1 11%
Student > Master 1 11%
Other 1 11%
Unknown 3 33%
Readers by discipline Count As %
Medicine and Dentistry 2 22%
Social Sciences 2 22%
Unspecified 1 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 11%
Unknown 3 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 August 2022.
All research outputs
#13,281,312
of 23,122,481 outputs
Outputs from Frontiers in Psychiatry
#3,830
of 10,243 outputs
Outputs of similar age
#178,165
of 441,259 outputs
Outputs of similar age from Frontiers in Psychiatry
#228
of 819 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,243 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 61% 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 441,259 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 58% of its contemporaries.
We're also able to compare this research output to 819 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 71% of its contemporaries.