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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Structure–activity relationship-based chemical classification of highly imbalanced Tox21 datasets
|
|---|---|
| Published in |
Journal of Cheminformatics, October 2020
|
| DOI | 10.1186/s13321-020-00468-x |
| Pubmed ID | |
| Authors |
Gabriel Idakwo, Sundar Thangapandian, Joseph Luttrell, Yan Li, Nan Wang, Zhaoxian Zhou, Huixiao Hong, Bei Yang, Chaoyang Zhang, Ping Gong |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 18% |
| Student > Master | 6 | 9% |
| Student > Bachelor | 4 | 6% |
| Student > Doctoral Student | 4 | 6% |
| Researcher | 4 | 6% |
| Other | 9 | 14% |
| Unknown | 26 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 7 | 11% |
| Computer Science | 6 | 9% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 8% |
| Environmental Science | 4 | 6% |
| Other | 9 | 14% |
| Unknown | 28 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 October 2020.
All research outputs
#14,909,862
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#743
of 891 outputs
Outputs of similar age
#226,565
of 423,937 outputs
Outputs of similar age from Journal of Cheminformatics
#17
of 17 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one is in the 15th percentile – i.e., 15% 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 423,937 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.