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Large-scale data integration framework provides a comprehensive view on glioblastoma multiforme

Overview of attention for article published in Genome Medicine, September 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
145 Dimensions

Readers on

mendeley
225 Mendeley
citeulike
6 CiteULike
connotea
1 Connotea
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Title
Large-scale data integration framework provides a comprehensive view on glioblastoma multiforme
Published in
Genome Medicine, September 2010
DOI 10.1186/gm186
Pubmed ID
Authors

Kristian Ovaska, Marko Laakso, Saija Haapa-Paananen, Riku Louhimo, Ping Chen, Viljami Aittomäki, Erkka Valo, Javier Núñez-Fontarnau, Ville Rantanen, Sirkku Karinen, Kari Nousiainen, Anna-Maria Lahesmaa-Korpinen, Minna Miettinen, Lilli Saarinen, Pekka Kohonen, Jianmin Wu, Jukka Westermarck, Sampsa Hautaniemi

Abstract

Coordinated efforts to collect large-scale data sets provide a basis for systems level understanding of complex diseases. In order to translate these fragmented and heterogeneous data sets into knowledge and medical benefits, advanced computational methods for data analysis, integration and visualization are needed.

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 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 4%
Finland 4 2%
United Kingdom 3 1%
Brazil 2 <1%
Italy 2 <1%
Netherlands 1 <1%
Sweden 1 <1%
France 1 <1%
Germany 1 <1%
Other 7 3%
Unknown 195 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 61 27%
Student > Ph. D. Student 58 26%
Student > Bachelor 21 9%
Student > Master 19 8%
Professor > Associate Professor 15 7%
Other 36 16%
Unknown 15 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 35%
Biochemistry, Genetics and Molecular Biology 38 17%
Computer Science 30 13%
Medicine and Dentistry 23 10%
Engineering 10 4%
Other 22 10%
Unknown 23 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 08 December 2017.
All research outputs
#2,645,551
of 25,374,647 outputs
Outputs from Genome Medicine
#607
of 1,585 outputs
Outputs of similar age
#10,031
of 104,806 outputs
Outputs of similar age from Genome Medicine
#3
of 13 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 61% 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 104,806 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 90% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.