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Quantification of relevance of quality of life assessment for patients with cognitive impairment: the suitability indices

Overview of attention for article published in BMC Neurology, April 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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4 X users

Citations

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13 Dimensions

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55 Mendeley
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Title
Quantification of relevance of quality of life assessment for patients with cognitive impairment: the suitability indices
Published in
BMC Neurology, April 2014
DOI 10.1186/1471-2377-14-78
Pubmed ID
Authors

Karine Baumstarck, Mohamed Boucekine, Laurent Boyer, Valérie Aghababian, Nathalie Parola, Françoise Reuter, Anderson Loundou, Christophe Lançon, Jean Pelletier, Pascal Auquier

Abstract

The extent to which MS patients with cognitive dysfunction can accurately self-report outcomes has been a crucial issue. The aim of this study was to quantify and compare the relevance of the quality of life (QoL) assessment between two populations with a high occurrence of cognitive dysfunction, specifically in individuals with multiple sclerosis (MS) and in individuals suffering from schizophrenia (SCZ).

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

Geographical breakdown

Country Count As %
Indonesia 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Student > Doctoral Student 7 13%
Student > Bachelor 7 13%
Researcher 6 11%
Student > Master 5 9%
Other 10 18%
Unknown 9 16%
Readers by discipline Count As %
Psychology 16 29%
Medicine and Dentistry 12 22%
Nursing and Health Professions 5 9%
Neuroscience 4 7%
Computer Science 3 5%
Other 2 4%
Unknown 13 24%
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 25 April 2014.
All research outputs
#13,059,006
of 22,753,345 outputs
Outputs from BMC Neurology
#1,006
of 2,427 outputs
Outputs of similar age
#108,939
of 228,038 outputs
Outputs of similar age from BMC Neurology
#26
of 74 outputs
Altmetric has tracked 22,753,345 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 2,427 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 57% 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 228,038 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 51% of its contemporaries.
We're also able to compare this research output to 74 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 63% of its contemporaries.