↓ Skip to main content

Disentangling Working Memory Functioning in Mood States of Bipolar Disorder: A Systematic Review

Overview of attention for article published in Frontiers in Psychology, April 2017
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
89 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Disentangling Working Memory Functioning in Mood States of Bipolar Disorder: A Systematic Review
Published in
Frontiers in Psychology, April 2017
DOI 10.3389/fpsyg.2017.00574
Pubmed ID
Authors

Carolina Soraggi-Frez, Flávia H. Santos, Pedro B. Albuquerque, Leandro F. Malloy-Diniz

Abstract

Working memory (WM) deficits are often reported in patients with Bipolar Disorder (BD). However, it is not clear about the nature of these WM deficits (update or serial order processes) and their association with each BD states (euthymic, mania, and depressive). This review investigated the association between BD patient's states and the functioning of WM components. For this purpose, we carried out a systematic review fulfilling a search in the databases Medline, Scopus, SciELO, and Web of Science using specific terms in the abstracts of the articles that generated 212 outcomes in the restricted period from 2005 to 2016. Twenty-three papers were selected, completely read, and analyzed using PICOS strategy. The mood episodes predicted deficits in different components of WM in BD patients (the phonological loop or visuospatial sketchpad) and were associated with different WM processes (updating and serial recall). Lower cognitive scores persist even in remission of symptoms. This result suggests that WM deficit apparently is stage-independent in BD patients. Furthermore, findings suggest that the neutral point on Hedonic Detector component of WM could be maladjusted by BD.

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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 88 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 13%
Student > Ph. D. Student 11 12%
Researcher 10 11%
Student > Bachelor 9 10%
Student > Postgraduate 7 8%
Other 15 17%
Unknown 25 28%
Readers by discipline Count As %
Psychology 24 27%
Medicine and Dentistry 12 13%
Neuroscience 9 10%
Agricultural and Biological Sciences 3 3%
Nursing and Health Professions 2 2%
Other 11 12%
Unknown 28 31%
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 19 June 2017.
All research outputs
#13,035,913
of 23,321,213 outputs
Outputs from Frontiers in Psychology
#11,736
of 31,015 outputs
Outputs of similar age
#145,349
of 310,641 outputs
Outputs of similar age from Frontiers in Psychology
#313
of 591 outputs
Altmetric has tracked 23,321,213 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,015 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. 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 310,641 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 52% of its contemporaries.
We're also able to compare this research output to 591 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.