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Structural equation modeling of factors contributing to quality of life in Japanese patients with multiple sclerosis

Overview of attention for article published in BMC Neurology, January 2013
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  • Average Attention Score compared to outputs of the same age and source

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4 X users

Citations

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16 Dimensions

Readers on

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68 Mendeley
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Title
Structural equation modeling of factors contributing to quality of life in Japanese patients with multiple sclerosis
Published in
BMC Neurology, January 2013
DOI 10.1186/1471-2377-13-10
Pubmed ID
Authors

Hiromi Kikuchi, Nobuhiro Mifune, Masaaki Niino, Jun-ichi Kira, Tatsuo Kohriyama, Kohei Ota, Masami Tanaka, Hirofumi Ochi, Shunya Nakane, Seiji Kikuchi

Abstract

To improve quality of life (QOL) in patients with multiple sclerosis (MS), it is important to decrease disability and prevent relapse. The aim of this study was to examine the causal and mutual relationships contributing to QOL in Japanese patients with MS, develop path diagrams, and explore interventions with the potential to improve patient QOL.

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

Geographical breakdown

Country Count As %
Malaysia 1 1%
Germany 1 1%
Unknown 66 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 13%
Researcher 9 13%
Student > Master 7 10%
Student > Bachelor 6 9%
Student > Doctoral Student 5 7%
Other 16 24%
Unknown 16 24%
Readers by discipline Count As %
Medicine and Dentistry 13 19%
Nursing and Health Professions 11 16%
Psychology 8 12%
Social Sciences 5 7%
Agricultural and Biological Sciences 3 4%
Other 8 12%
Unknown 20 29%
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 23 January 2013.
All research outputs
#13,375,947
of 22,693,205 outputs
Outputs from BMC Neurology
#1,059
of 2,418 outputs
Outputs of similar age
#156,199
of 279,188 outputs
Outputs of similar age from BMC Neurology
#18
of 32 outputs
Altmetric has tracked 22,693,205 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,418 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 53% 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 279,188 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.