You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Bridging the gap between gene expression and metabolic phenotype via kinetic models
|
---|---|
Published in |
BMC Systems Biology, July 2013
|
DOI | 10.1186/1752-0509-7-63 |
Pubmed ID | |
Authors |
Francisco G Vital-Lopez, Anders Wallqvist, Jaques Reifman |
Abstract |
Despite the close association between gene expression and metabolism, experimental evidence shows that gene expression levels alone cannot predict metabolic phenotypes, indicating a knowledge gap in our understanding of how these processes are connected. Here, we present a method that integrates transcriptome, fluxome, and metabolome data using kinetic models to create a mechanistic link between gene expression and metabolism. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 3% |
Portugal | 1 | <1% |
Chile | 1 | <1% |
Singapore | 1 | <1% |
Uruguay | 1 | <1% |
China | 1 | <1% |
Denmark | 1 | <1% |
Unknown | 107 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 31 | 27% |
Student > Ph. D. Student | 29 | 25% |
Student > Master | 12 | 10% |
Student > Bachelor | 8 | 7% |
Professor > Associate Professor | 6 | 5% |
Other | 15 | 13% |
Unknown | 15 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 41 | 35% |
Computer Science | 15 | 13% |
Biochemistry, Genetics and Molecular Biology | 13 | 11% |
Engineering | 9 | 8% |
Medicine and Dentistry | 6 | 5% |
Other | 8 | 7% |
Unknown | 24 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 July 2013.
All research outputs
#18,341,711
of 22,714,025 outputs
Outputs from BMC Systems Biology
#834
of 1,142 outputs
Outputs of similar age
#148,348
of 197,936 outputs
Outputs of similar age from BMC Systems Biology
#15
of 24 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 197,936 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.