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Attention Score in Context
Title |
Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data
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Published in |
BMC Systems Biology, January 2011
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DOI | 10.1186/1752-0509-5-21 |
Pubmed ID | |
Authors |
Jan Krumsiek, Karsten Suhre, Thomas Illig, Jerzy Adamski, Fabian J Theis |
Abstract |
With the advent of high-throughput targeted metabolic profiling techniques, the question of how to interpret and analyze the resulting vast amount of data becomes more and more important. In this work we address the reconstruction of metabolic reactions from cross-sectional metabolomics data, that is without the requirement for time-resolved measurements or specific system perturbations. Previous studies in this area mainly focused on Pearson correlation coefficients, which however are generally incapable of distinguishing between direct and indirect metabolic interactions. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 44% |
Germany | 1 | 11% |
Qatar | 1 | 11% |
Puerto Rico | 1 | 11% |
France | 1 | 11% |
India | 1 | 11% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 56% |
Members of the public | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 385 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 2% |
Germany | 6 | 2% |
Switzerland | 2 | <1% |
France | 2 | <1% |
Brazil | 2 | <1% |
Portugal | 1 | <1% |
South Africa | 1 | <1% |
United Kingdom | 1 | <1% |
Norway | 1 | <1% |
Other | 4 | 1% |
Unknown | 358 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 106 | 28% |
Student > Ph. D. Student | 88 | 23% |
Student > Master | 38 | 10% |
Student > Doctoral Student | 23 | 6% |
Student > Bachelor | 19 | 5% |
Other | 60 | 16% |
Unknown | 51 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 136 | 35% |
Biochemistry, Genetics and Molecular Biology | 63 | 16% |
Computer Science | 31 | 8% |
Mathematics | 23 | 6% |
Medicine and Dentistry | 15 | 4% |
Other | 52 | 14% |
Unknown | 65 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 June 2022.
All research outputs
#3,512,254
of 23,946,786 outputs
Outputs from BMC Systems Biology
#95
of 1,134 outputs
Outputs of similar age
#21,573
of 188,729 outputs
Outputs of similar age from BMC Systems Biology
#5
of 42 outputs
Altmetric has tracked 23,946,786 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,134 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 91% 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 188,729 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 86% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.