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REGSTATTOOLS: freeware statistical tools for the analysis of disease population databases used in health and social studies

Overview of attention for article published in BMC Public Health, March 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Title
REGSTATTOOLS: freeware statistical tools for the analysis of disease population databases used in health and social studies
Published in
BMC Public Health, March 2013
DOI 10.1186/1471-2458-13-201
Pubmed ID
Authors

Laura Esteban, Ramon Clèries, Jordi Gálvez, Laura Pareja, Josep Maria Escribà, Xavier Sanz, Ángel Izquierdo, Jaume Galcerán, Josepa Ribes

Abstract

The repertoire of statistical methods dealing with the descriptive analysis of the burden of a disease has been expanded and implemented in statistical software packages during the last years. The purpose of this paper is to present a web-based tool, REGSTATTOOLShttp://regstattools.net intended to provide analysis for the burden of cancer, or other group of disease registry data. Three software applications are included in REGSTATTOOLS: SART (analysis of disease's rates and its time trends), RiskDiff (analysis of percent changes in the rates due to demographic factors and risk of developing or dying from a disease) and WAERS (relative survival analysis).

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 6%
United Kingdom 1 2%
Ecuador 1 2%
Unknown 44 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 31%
Student > Bachelor 7 14%
Other 4 8%
Professor 3 6%
Student > Ph. D. Student 3 6%
Other 9 18%
Unknown 8 16%
Readers by discipline Count As %
Medicine and Dentistry 12 24%
Computer Science 7 14%
Biochemistry, Genetics and Molecular Biology 5 10%
Agricultural and Biological Sciences 3 6%
Nursing and Health Professions 2 4%
Other 9 18%
Unknown 11 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 10 April 2014.
All research outputs
#4,218,043
of 23,881,329 outputs
Outputs from BMC Public Health
#4,664
of 15,466 outputs
Outputs of similar age
#34,425
of 197,120 outputs
Outputs of similar age from BMC Public Health
#55
of 286 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has gotten more attention than average, scoring higher than 70% 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 197,120 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 286 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.