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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MetabNet: An R Package for Metabolic Association Analysis of High-Resolution Metabolomics Data
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, June 2015
|
| DOI | 10.3389/fbioe.2015.00087 |
| Pubmed ID | |
| Authors |
Karan Uppal, Quinlyn A. Soltow, Daniel E. L. Promislow, Lynn M. Wachtman, Arshed Ali Quyyumi, Dean P. Jones |
| Abstract |
Liquid-chromatography high-resolution mass spectrometry provides capability to measure >40,000 ions derived from metabolites in biologic samples. This presents challenges to confirm identities of known chemicals and delineate potential metabolic pathway associations of unidentified chemicals. We provide an R package for metabolic network analysis, MetabNet, to perform targeted metabolome-wide association study of specific metabolites to facilitate detection of their related metabolic pathways and network structures. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 3 | 75% |
| Switzerland | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Canada | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 80 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 32% |
| Researcher | 12 | 14% |
| Student > Master | 9 | 11% |
| Professor > Associate Professor | 6 | 7% |
| Professor | 4 | 5% |
| Other | 16 | 19% |
| Unknown | 10 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 23% |
| Biochemistry, Genetics and Molecular Biology | 14 | 17% |
| Environmental Science | 7 | 8% |
| Chemistry | 6 | 7% |
| Computer Science | 5 | 6% |
| Other | 18 | 21% |
| Unknown | 15 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 24 July 2015.
All research outputs
#14,277,392
of 25,374,647 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,614
of 8,501 outputs
Outputs of similar age
#125,638
of 280,844 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#13
of 49 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,501 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 80% 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 280,844 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.