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DIPSBC - data integration platform for systems biology collaborations

Overview of attention for article published in BMC Bioinformatics, May 2012
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
9 X users
wikipedia
1 Wikipedia page
googleplus
2 Google+ users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
54 Mendeley
citeulike
2 CiteULike
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Title
DIPSBC - data integration platform for systems biology collaborations
Published in
BMC Bioinformatics, May 2012
DOI 10.1186/1471-2105-13-85
Pubmed ID
Authors

Felix Dreher, Thomas Kreitler, Christopher Hardt, Atanas Kamburov, Reha Yildirimman, Karl Schellander, Hans Lehrach, Bodo MH Lange, Ralf Herwig

Abstract

Modern biomedical research is often organized in collaborations involving labs worldwide. In particular in systems biology, complex molecular systems are analyzed that require the generation and interpretation of heterogeneous data for their explanation, for example ranging from gene expression studies and mass spectrometry measurements to experimental techniques for detecting molecular interactions and functional assays. XML has become the most prominent format for representing and exchanging these data. However, besides the development of standards there is still a fundamental lack of data integration systems that are able to utilize these exchange formats, organize the data in an integrative way and link it with applications for data interpretation and analysis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 7%
Germany 3 6%
France 1 2%
Bulgaria 1 2%
South Africa 1 2%
Australia 1 2%
Singapore 1 2%
United Kingdom 1 2%
Unknown 41 76%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 35%
Student > Ph. D. Student 10 19%
Student > Master 6 11%
Other 5 9%
Student > Bachelor 4 7%
Other 8 15%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 39%
Computer Science 14 26%
Biochemistry, Genetics and Molecular Biology 6 11%
Medicine and Dentistry 4 7%
Engineering 2 4%
Other 5 9%
Unknown 2 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 September 2012.
All research outputs
#2,676,856
of 22,664,644 outputs
Outputs from BMC Bioinformatics
#890
of 7,247 outputs
Outputs of similar age
#17,913
of 163,481 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 103 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 87% 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 163,481 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 89% of its contemporaries.
We're also able to compare this research output to 103 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.