↓ Skip to main content

Use of different subjective health indicators to assess health inequalities in an urban immigrant population in north-western Italy: a cross-sectional study

Overview of attention for article published in BMC Public Health, October 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
125 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
Use of different subjective health indicators to assess health inequalities in an urban immigrant population in north-western Italy: a cross-sectional study
Published in
BMC Public Health, October 2013
DOI 10.1186/1471-2458-13-1006
Pubmed ID
Authors

Alexander Domnich, Daniela Amicizia, Donatella Panatto, Alessio Signori, Valentina Perelli, Sergio Adamoli, Edoardo Berti Riboli, Roberto Gasparini

Abstract

Despite the steady growth of the immigrant population in Italy, data on the health status of immigrants are scarce. Our main goals were to measure Health-Related Quality of Life (HRQoL), Self-Rated Health (SRH) and morbidity among immigrants in Genoa. We aimed to assess the relative contribution of some social, structural and behavioral determinants to "within-group" health disparities.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Portugal 1 <1%
Unknown 123 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 21%
Researcher 17 14%
Student > Bachelor 11 9%
Student > Doctoral Student 9 7%
Student > Ph. D. Student 8 6%
Other 18 14%
Unknown 36 29%
Readers by discipline Count As %
Medicine and Dentistry 25 20%
Social Sciences 15 12%
Psychology 13 10%
Nursing and Health Professions 11 9%
Agricultural and Biological Sciences 6 5%
Other 14 11%
Unknown 41 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 October 2013.
All research outputs
#18,351,676
of 22,727,570 outputs
Outputs from BMC Public Health
#12,802
of 14,807 outputs
Outputs of similar age
#157,817
of 211,948 outputs
Outputs of similar age from BMC Public Health
#262
of 292 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,807 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 6th percentile – i.e., 6% 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 211,948 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 292 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.