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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CardioTox net: a robust predictor for hERG channel blockade based on deep learning meta-feature ensembles
|
|---|---|
| Published in |
Journal of Cheminformatics, August 2021
|
| DOI | 10.1186/s13321-021-00541-z |
| Pubmed ID | |
| Authors |
Abdul Karim, Matthew Lee, Thomas Balle, Abdul Sattar |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 16% |
| Student > Bachelor | 3 | 10% |
| Unspecified | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 13 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 16% |
| Chemistry | 4 | 13% |
| Unspecified | 3 | 10% |
| Computer Science | 3 | 10% |
| Chemical Engineering | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 11 | 35% |
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 May 2023.
All research outputs
#15,554,369
of 23,876,482 outputs
Outputs from Journal of Cheminformatics
#771
of 878 outputs
Outputs of similar age
#217,451
of 402,509 outputs
Outputs of similar age from Journal of Cheminformatics
#25
of 29 outputs
Altmetric has tracked 23,876,482 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 878 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 10th percentile – i.e., 10% 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 402,509 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.