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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting drug−disease associations via sigmoid kernel-based convolutional neural networks
|
|---|---|
| Published in |
Journal of Translational Medicine, November 2019
|
| DOI | 10.1186/s12967-019-2127-5 |
| Pubmed ID | |
| Authors |
Han-Jing Jiang, Zhu-Hong You, Yu-An Huang |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 33% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 21% |
| Researcher | 7 | 17% |
| Lecturer | 2 | 5% |
| Student > Master | 2 | 5% |
| Professor | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 18 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 26% |
| Medicine and Dentistry | 4 | 10% |
| Engineering | 3 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 17 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 23 November 2019.
All research outputs
#14,095,539
of 24,093,053 outputs
Outputs from Journal of Translational Medicine
#1,645
of 4,282 outputs
Outputs of similar age
#224,517
of 464,434 outputs
Outputs of similar age from Journal of Translational Medicine
#30
of 71 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,282 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 60% 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 464,434 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 71 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 57% of its contemporaries.