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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Artificial Intelligence, Machine Learning, and Deep Learning in Real-Life Drug Design Cases
|
|---|---|
| Chapter number | 16 |
| Book title |
Artificial Intelligence in Drug Design
|
| Published in |
Methods in molecular biology, November 2021
|
| DOI | 10.1007/978-1-0716-1787-8_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-161786-1, 978-1-07-161787-8
|
| Authors |
Muller, Christophe, Rabal, Obdulia, Diaz Gonzalez, Constantino, Christophe Muller, Obdulia Rabal, Constantino Diaz Gonzalez |
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 % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 18% |
| Student > Ph. D. Student | 5 | 13% |
| Researcher | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Professor > Associate Professor | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 15 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 10% |
| Chemistry | 4 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Agricultural and Biological Sciences | 3 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 17 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 11 October 2022.
All research outputs
#3,245,562
of 23,507,888 outputs
Outputs from Methods in molecular biology
#713
of 13,360 outputs
Outputs of similar age
#73,886
of 441,413 outputs
Outputs of similar age from Methods in molecular biology
#8
of 387 outputs
Altmetric has tracked 23,507,888 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,360 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 94% 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 441,413 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 387 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.