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X Demographics
Mendeley readers
Attention Score in Context
| Title |
In Silico Toxicology – Non-Testing Methods
|
|---|---|
| Published in |
Frontiers in Pharmacology, January 2011
|
| DOI | 10.3389/fphar.2011.00033 |
| Pubmed ID | |
| Authors |
Hannu Raunio |
| Abstract |
In silico toxicology in its broadest sense means "anything that we can do with a computer in toxicology." Many different types of in silico methods have been developed to characterize and predict toxic outcomes in humans and environment. The term non-testing methods denote grouping approaches, structure-activity relationship, and expert systems. These methods are already used for regulatory purposes and it is anticipated that their role will be much more prominent in the near future. This Perspective will delineate the basic principles of non-testing methods and evaluate their role in current and future risk assessment of chemical compounds. |
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 % |
|---|---|---|
| Brazil | 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 268 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 4 | 1% |
| Netherlands | 1 | <1% |
| Chile | 1 | <1% |
| Kenya | 1 | <1% |
| France | 1 | <1% |
| India | 1 | <1% |
| Czechia | 1 | <1% |
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 255 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 50 | 19% |
| Student > Ph. D. Student | 41 | 15% |
| Student > Master | 31 | 12% |
| Researcher | 23 | 9% |
| Student > Doctoral Student | 19 | 7% |
| Other | 45 | 17% |
| Unknown | 59 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 38 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 37 | 14% |
| Agricultural and Biological Sciences | 29 | 11% |
| Biochemistry, Genetics and Molecular Biology | 23 | 9% |
| Medicine and Dentistry | 15 | 6% |
| Other | 50 | 19% |
| Unknown | 76 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 08 April 2016.
All research outputs
#4,099,971
of 23,666,309 outputs
Outputs from Frontiers in Pharmacology
#1,799
of 17,275 outputs
Outputs of similar age
#26,943
of 184,457 outputs
Outputs of similar age from Frontiers in Pharmacology
#7
of 44 outputs
Altmetric has tracked 23,666,309 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,275 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done well, scoring higher than 89% 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 184,457 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 85% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.