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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Towards Predicting Gut Microbial Metabolism: Integration of Flux Balance Analysis and Untargeted Metabolomics
|
|---|---|
| Published in |
Metabolites, April 2020
|
| DOI | 10.3390/metabo10040156 |
| Pubmed ID | |
| Authors |
Ellen Kuang, Matthew Marney, Daniel Cuevas, Robert A. Edwards, Erica M. Forsberg |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 13% |
| Switzerland | 1 | 13% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 2 | 25% |
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 % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 26% |
| Student > Master | 6 | 17% |
| Researcher | 6 | 17% |
| Other | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 8 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 20% |
| Chemistry | 5 | 14% |
| Agricultural and Biological Sciences | 5 | 14% |
| Chemical Engineering | 4 | 11% |
| Engineering | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 9 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 02 July 2020.
All research outputs
#7,100,673
of 23,508,125 outputs
Outputs from Metabolites
#625
of 2,772 outputs
Outputs of similar age
#138,919
of 375,617 outputs
Outputs of similar age from Metabolites
#33
of 112 outputs
Altmetric has tracked 23,508,125 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,772 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 76% 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 375,617 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 62% of its contemporaries.
We're also able to compare this research output to 112 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 71% of its contemporaries.