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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimization of a Deep-Learning Method Based on the Classification of Images Generated by Parameterized Deep Snap a Novel Molecular-Image-Input Technique for Quantitative Structure–Activity Relationship (QSAR) Analysis
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, March 2019
|
| DOI | 10.3389/fbioe.2019.00065 |
| Pubmed ID | |
| Authors |
Yasunari Matsuzaka, Yoshihiro Uesawa |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 18% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Master | 7 | 10% |
| Other | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 22 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 15% |
| Chemistry | 8 | 12% |
| Computer Science | 4 | 6% |
| Medicine and Dentistry | 4 | 6% |
| Engineering | 4 | 6% |
| Other | 12 | 18% |
| Unknown | 25 | 37% |
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 07 March 2023.
All research outputs
#4,090,151
of 23,577,761 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#553
of 7,166 outputs
Outputs of similar age
#84,217
of 352,964 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#25
of 85 outputs
Altmetric has tracked 23,577,761 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 7,166 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 92% 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 352,964 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 76% of its contemporaries.
We're also able to compare this research output to 85 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 70% of its contemporaries.