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Model-based extension of high-throughput to high-content data

Overview of attention for article published in BMC Systems Biology, August 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
35 Mendeley
citeulike
4 CiteULike
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Title
Model-based extension of high-throughput to high-content data
Published in
BMC Systems Biology, August 2010
DOI 10.1186/1752-0509-4-106
Pubmed ID
Authors

Andrea C Pfeifer, Daniel Kaschek, Julie Bachmann, Ursula Klingmüller, Jens Timmer

Abstract

High-quality quantitative data is a major limitation in systems biology. The experimental data used in systems biology can be assigned to one of the following categories: assays yielding average data of a cell population, high-content single cell measurements and high-throughput techniques generating single cell data for large cell populations. For modeling purposes, a combination of data from different categories is highly desirable in order to increase the number of observable species and processes and thereby maximize the identifiability of parameters.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 9%
United States 1 3%
Brazil 1 3%
Unknown 30 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 20%
Student > Ph. D. Student 6 17%
Student > Bachelor 4 11%
Professor > Associate Professor 4 11%
Student > Master 4 11%
Other 7 20%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 46%
Engineering 5 14%
Biochemistry, Genetics and Molecular Biology 2 6%
Computer Science 2 6%
Medicine and Dentistry 2 6%
Other 5 14%
Unknown 3 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 03 September 2010.
All research outputs
#4,676,928
of 22,705,019 outputs
Outputs from BMC Systems Biology
#152
of 1,142 outputs
Outputs of similar age
#19,436
of 94,352 outputs
Outputs of similar age from BMC Systems Biology
#3
of 15 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 86% 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 94,352 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 79% of its contemporaries.
We're also able to compare this research output to 15 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.