Computational Systems Biology in Medicine and Biotechnology
Springer US
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Practical Guide to Integrating Multimodal Machine Learning and Metabolic Modeling
|
|---|---|
| Book title |
Computational Systems Biology in Medicine and Biotechnology
|
| Published in |
Methods in molecular biology, May 2022
|
| DOI | 10.1007/978-1-0716-1831-8_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-161830-1, 978-1-07-161831-8
|
| Authors |
Vijayakumar, Supreeta, Magazzù, Giuseppe, Moon, Pradip, Occhipinti, Annalisa, Angione, Claudio |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 29% |
| Student > Ph. D. Student | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Researcher | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 6 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 14% |
| Computer Science | 2 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Immunology and Microbiology | 1 | 7% |
| Engineering | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 7 | 50% |
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 12 June 2022.
All research outputs
#7,858,222
of 23,853,707 outputs
Outputs from Methods in molecular biology
#2,434
of 13,513 outputs
Outputs of similar age
#151,148
of 429,207 outputs
Outputs of similar age from Methods in molecular biology
#65
of 429 outputs
Altmetric has tracked 23,853,707 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 13,513 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 81% 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 429,207 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 64% of its contemporaries.
We're also able to compare this research output to 429 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.