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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improved Prediction of Aqueous Solubility of Novel Compounds by Going Deeper With Deep Learning
|
|---|---|
| Published in |
Frontiers in oncology, February 2020
|
| DOI | 10.3389/fonc.2020.00121 |
| Pubmed ID | |
| Authors |
Qiuji Cui, Shuai Lu, Bingwei Ni, Xian Zeng, Ying Tan, Ya Dong Chen, Hongping Zhao |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 106 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 15% |
| Student > Ph. D. Student | 13 | 12% |
| Student > Master | 13 | 12% |
| Student > Bachelor | 7 | 7% |
| Student > Doctoral Student | 6 | 6% |
| Other | 13 | 12% |
| Unknown | 38 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 16 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 11 | 10% |
| Chemical Engineering | 7 | 7% |
| Engineering | 5 | 5% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Other | 19 | 18% |
| Unknown | 44 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 March 2020.
All research outputs
#23,708,845
of 26,391,552 outputs
Outputs from Frontiers in oncology
#16,903
of 23,083 outputs
Outputs of similar age
#416,174
of 485,825 outputs
Outputs of similar age from Frontiers in oncology
#315
of 460 outputs
Altmetric has tracked 26,391,552 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,083 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% 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 485,825 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 460 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.