High Performance Computing for Drug Discovery and Biomedicine
Springer US
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
In Silico Clinical Trials: Is It Possible?
|
|---|---|
| Chapter number | 4 |
| Book title |
High Performance Computing for Drug Discovery and Biomedicine
|
| Published in |
Methods in molecular biology, September 2023
|
| DOI | 10.1007/978-1-0716-3449-3_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-163448-6, 978-1-07-163449-3
|
| Authors |
Simon Arsène, Yves Parès, Eliott Tixier, Solène Granjeon-Noriot, Bastien Martin, Lara Bruezière, Claire Couty, Eulalie Courcelles, Riad Kahoul, Julie Pitrat, Natacha Go, Claudio Monteiro, Julie Kleine-Schultjann, Sarah Jemai, Emmanuel Pham, Jean-Pierre Boissel, Alexander Kulesza, Arsène, Simon, Parès, Yves, Tixier, Eliott, Granjeon-Noriot, Solène, Martin, Bastien, Bruezière, Lara, Couty, Claire, Courcelles, Eulalie, Kahoul, Riad, Pitrat, Julie, Go, Natacha, Monteiro, Claudio, Kleine-Schultjann, Julie, Jemai, Sarah, Pham, Emmanuel, Boissel, Jean-Pierre, Kulesza, Alexander |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 20% |
| Lecturer | 1 | 10% |
| Other | 1 | 10% |
| Professor | 1 | 10% |
| Student > Master | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 20% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Mathematics | 1 | 10% |
| Unknown | 5 | 50% |
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 24 February 2024.
All research outputs
#19,332,670
of 24,615,949 outputs
Outputs from Methods in molecular biology
#7,976
of 13,851 outputs
Outputs of similar age
#179,785
of 272,645 outputs
Outputs of similar age from Methods in molecular biology
#60
of 101 outputs
Altmetric has tracked 24,615,949 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,851 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 37th percentile – i.e., 37% 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 272,645 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.