In Silico Methods for Predicting Drug Toxicity
Springer US
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
In Silico Tools and Software to Predict ADMET of New Drug Candidates
|
|---|---|
| Book title |
In Silico Methods for Predicting Drug Toxicity
|
| Published in |
Methods in molecular biology, January 2022
|
| DOI | 10.1007/978-1-0716-1960-5_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-161959-9, 978-1-07-161960-5
|
| Authors |
Kar, Supratik, Roy, Kunal, Leszczynski, Jerzy, Supratik Kar, Kunal Roy, Jerzy Leszczynski |
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 States | 2 | 40% |
| Sweden | 1 | 20% |
| India | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 17% |
| Unspecified | 1 | 8% |
| Professor | 1 | 8% |
| Student > Ph. D. Student | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 5 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 17% |
| Unspecified | 1 | 8% |
| Chemistry | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 5 | 42% |
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 02 March 2022.
All research outputs
#14,437,461
of 24,833,726 outputs
Outputs from Methods in molecular biology
#3,763
of 13,942 outputs
Outputs of similar age
#218,508
of 514,114 outputs
Outputs of similar age from Methods in molecular biology
#137
of 813 outputs
Altmetric has tracked 24,833,726 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,942 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 72% 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 514,114 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 56% of its contemporaries.
We're also able to compare this research output to 813 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.