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Dove Medical Press

Scaling up health knowledge at European level requires sharing integrated data: an approach for collection of database specification

Overview of attention for article published in ClinicoEconomics and Outcomes Research: CEOR, June 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 527)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
60 news outlets
twitter
2 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
39 Mendeley
Title
Scaling up health knowledge at European level requires sharing integrated data: an approach for collection of database specification
Published in
ClinicoEconomics and Outcomes Research: CEOR, June 2016
DOI 10.2147/ceor.s97548
Pubmed ID
Authors

Enrica Menditto, Angela Bolufer De Gea, Caitriona Cahir, Alessandra Marengoni, Salvatore Riegler, Giuseppe Fico, Elisio Costa, Alessandro Monaco, Sergio Pecorelli, Luca Pani, Alexandra Prados-Torres

Abstract

Computerized health care databases have been widely described as an excellent opportunity for research. The availability of "big data" has brought about a wave of innovation in projects when conducting health services research. Most of the available secondary data sources are restricted to the geographical scope of a given country and present heterogeneous structure and content. Under the umbrella of the European Innovation Partnership on Active and Healthy Ageing, collaborative work conducted by the partners of the group on "adherence to prescription and medical plans" identified the use of observational and large-population databases to monitor medication-taking behavior in the elderly. This article describes the methodology used to gather the information from available databases among the Adherence Action Group partners with the aim of improving data sharing on a European level. A total of six databases belonging to three different European countries (Spain, Republic of Ireland, and Italy) were included in the analysis. Preliminary results suggest that there are some similarities. However, these results should be applied in different contexts and European countries, supporting the idea that large European studies should be designed in order to get the most of already available databases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 5%
Switzerland 1 3%
Unknown 36 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 31%
Student > Ph. D. Student 6 15%
Student > Master 5 13%
Student > Bachelor 4 10%
Student > Doctoral Student 3 8%
Other 4 10%
Unknown 5 13%
Readers by discipline Count As %
Medicine and Dentistry 12 31%
Social Sciences 4 10%
Nursing and Health Professions 4 10%
Computer Science 2 5%
Business, Management and Accounting 2 5%
Other 7 18%
Unknown 8 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 474. 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 17 June 2016.
All research outputs
#57,903
of 25,806,080 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#1
of 527 outputs
Outputs of similar age
#1,189
of 354,911 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#1
of 24 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 527 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has done particularly well, scoring higher than 99% 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 354,911 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 99% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.