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Visual impairment and multimorbidity in a representative sample of the Spanish population

Overview of attention for article published in BMC Public Health, August 2014
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155 Mendeley
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Title
Visual impairment and multimorbidity in a representative sample of the Spanish population
Published in
BMC Public Health, August 2014
DOI 10.1186/1471-2458-14-815
Pubmed ID
Authors

Noe Garin, Beatriz Olaya, Elvira Lara, Maria Victoria Moneta, Marta Miret, Jose Luis Ayuso-Mateos, Josep Maria Haro

Abstract

In the context of population aging, visual impairment has emerged as a growing concern in public health. However, there is a need for further research into the relationship between visual impairment and chronic medical conditions in the elderly. The aim of our study was to examine the relationship between visual impairment and three main types of co-morbidity: chronic physical conditions (both at an independent and additive level), mental health and cognitive functioning.

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

Geographical breakdown

Country Count As %
Canada 1 <1%
Unknown 154 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 15%
Student > Bachelor 20 13%
Student > Ph. D. Student 16 10%
Student > Doctoral Student 14 9%
Student > Master 13 8%
Other 32 21%
Unknown 36 23%
Readers by discipline Count As %
Medicine and Dentistry 43 28%
Psychology 15 10%
Nursing and Health Professions 13 8%
Agricultural and Biological Sciences 11 7%
Social Sciences 11 7%
Other 17 11%
Unknown 45 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 04 May 2015.
All research outputs
#13,410,980
of 22,759,618 outputs
Outputs from BMC Public Health
#9,521
of 14,834 outputs
Outputs of similar age
#109,648
of 230,503 outputs
Outputs of similar age from BMC Public Health
#172
of 277 outputs
Altmetric has tracked 22,759,618 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 14,834 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 33rd percentile – i.e., 33% 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 230,503 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 50% of its contemporaries.
We're also able to compare this research output to 277 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.