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Success and failure in narrowing the disability employment gap: comparing levels and trends across Europe 2002–2014

Overview of attention for article published in BMC Public Health, December 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
policy
2 policy sources
twitter
2 X users

Citations

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24 Dimensions

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58 Mendeley
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Title
Success and failure in narrowing the disability employment gap: comparing levels and trends across Europe 2002–2014
Published in
BMC Public Health, December 2017
DOI 10.1186/s12889-017-4938-8
Pubmed ID
Authors

Ben Baumberg Geiger, Kjetil A. van der Wel, Anne Grete Tøge

Abstract

International comparisons of the disability employment gap are an important driver of policy change. However, previous comparisons have used the European Union Statistics on Income and Living Conditions (EU-SILC), despite known comparability issues. We present new results from the higher-quality European Social Survey (ESS), compare these to EU-SILC and the EU Labour Force Survey (EU-LFS), and also examine trends in the disability employment gap in Europe over the financial crisis for the first time. For cross-sectional comparisons of 25 countries, we use micro-data for ESS and EU-SILC for 2012 and compare these to published EU-LFS 2011 estimates. For trend analyses, we use seven biannual waves of ESS (2002-2014) with a total sample size of 182,195, and annual waves of EU-SILC (2004-2014) with a total sample size of 2,412,791. (i) Cross-sectional: countries that have smaller disability employment gaps in one survey tend to have smaller gaps in the other surveys. Nevertheless, there are some countries that perform badly on the lower-quality surveys but better in the higher-quality ESS. (ii) Trends: the disability employment gap appears to have declined in ESS by 4.9%, while no trend is observed in EU-SILC - but this has come alongside a rise in disability in ESS. There is a need for investment in disability measures that are more comparable over time/space. Nevertheless, it is clear to policymakers there are some countries that do consistently well across surveys and measures (Switzerland), and others that do badly (Hungary).

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Researcher 11 19%
Student > Master 10 17%
Professor 5 9%
Student > Doctoral Student 4 7%
Other 3 5%
Unknown 14 24%
Readers by discipline Count As %
Social Sciences 13 22%
Nursing and Health Professions 7 12%
Business, Management and Accounting 6 10%
Economics, Econometrics and Finance 5 9%
Psychology 3 5%
Other 4 7%
Unknown 20 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 11 October 2023.
All research outputs
#907,808
of 24,593,959 outputs
Outputs from BMC Public Health
#960
of 16,262 outputs
Outputs of similar age
#21,057
of 448,099 outputs
Outputs of similar age from BMC Public Health
#22
of 179 outputs
Altmetric has tracked 24,593,959 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,262 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done particularly well, scoring higher than 94% 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 448,099 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 179 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.