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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multi-task learning with a natural metric for quantitative structure activity relationship learning
|
|---|---|
| Published in |
Journal of Cheminformatics, November 2019
|
| DOI | 10.1186/s13321-019-0392-1 |
| Pubmed ID | |
| Authors |
Noureddin Sadawi, Ivan Olier, Joaquin Vanschoren, Jan N. van Rijn, Jeremy Besnard, Richard Bickerton, Crina Grosan, Larisa Soldatova, Ross D. King |
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 % |
|---|---|---|
| Sweden | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 23% |
| Student > Master | 7 | 16% |
| Researcher | 5 | 11% |
| Other | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 11 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 8 | 18% |
| Computer Science | 5 | 11% |
| Chemical Engineering | 4 | 9% |
| Medicine and Dentistry | 3 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 16 | 36% |
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 15 October 2020.
All research outputs
#3,369,712
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#332
of 891 outputs
Outputs of similar age
#68,860
of 363,851 outputs
Outputs of similar age from Journal of Cheminformatics
#7
of 18 outputs
Altmetric has tracked 24,143,470 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 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 has gotten more attention than average, scoring higher than 62% 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 363,851 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 81% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.