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Attention Score in Context
Title |
A multi-tissue type genome-scale metabolic network for analysis of whole-body systems physiology
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Published in |
BMC Systems Biology, October 2011
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DOI | 10.1186/1752-0509-5-180 |
Pubmed ID | |
Authors |
Aarash Bordbar, Adam M Feist, Renata Usaite-Black, Joseph Woodcock, Bernhard O Palsson, Iman Famili |
Abstract |
Genome-scale metabolic reconstructions provide a biologically meaningful mechanistic basis for the genotype-phenotype relationship. The global human metabolic network, termed Recon 1, has recently been reconstructed allowing the systems analysis of human metabolic physiology and pathology. Utilizing high-throughput data, Recon 1 has recently been tailored to different cells and tissues, including the liver, kidney, brain, and alveolar macrophage. These models have shown utility in the study of systems medicine. However, no integrated analysis between human tissues has been done. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 311 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 3% |
Colombia | 2 | <1% |
Switzerland | 1 | <1% |
Netherlands | 1 | <1% |
France | 1 | <1% |
Malaysia | 1 | <1% |
Israel | 1 | <1% |
Finland | 1 | <1% |
United Kingdom | 1 | <1% |
Other | 5 | 2% |
Unknown | 289 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 79 | 25% |
Researcher | 75 | 24% |
Student > Master | 40 | 13% |
Student > Bachelor | 16 | 5% |
Professor > Associate Professor | 15 | 5% |
Other | 38 | 12% |
Unknown | 48 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 115 | 37% |
Biochemistry, Genetics and Molecular Biology | 58 | 19% |
Computer Science | 19 | 6% |
Engineering | 18 | 6% |
Medicine and Dentistry | 18 | 6% |
Other | 23 | 7% |
Unknown | 60 | 19% |
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 03 November 2011.
All research outputs
#5,356,302
of 22,655,397 outputs
Outputs from BMC Systems Biology
#165
of 1,142 outputs
Outputs of similar age
#33,003
of 141,444 outputs
Outputs of similar age from BMC Systems Biology
#6
of 44 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. Compared to these this one has done well and is in the 76th 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 85% 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 141,444 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 76% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.