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Data modeling as a main source of discrepancies in single and multiple marker association methods

Overview of attention for article published in BMC Proceedings, February 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 157)
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Data modeling as a main source of discrepancies in single and multiple marker association methods
Published in
BMC Proceedings, February 2009
DOI 10.1186/1753-6561-3-s1-s9
Authors

Mônica Corrêa Ledur, Nicolas Navarro, Miguel Pérez-Enciso

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Brazil 1 4%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 41%
Professor > Associate Professor 4 15%
Student > Ph. D. Student 3 11%
Professor 2 7%
Student > Master 2 7%
Other 2 7%
Unknown 3 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 74%
Computer Science 2 7%
Mathematics 1 4%
Unknown 4 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 February 2009.
All research outputs
#523,386
of 3,685,110 outputs
Outputs from BMC Proceedings
#9
of 157 outputs
Outputs of similar age
#14,521
of 85,550 outputs
Outputs of similar age from BMC Proceedings
#1
of 6 outputs
Altmetric has tracked 3,685,110 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 157 research outputs from this source. They receive a mean Attention Score of 1.9. 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 85,550 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 83% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them