You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of Drug–Target Interactions From Multi-Molecular Network Based on Deep Walk Embedding Model
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, June 2020
|
| DOI | 10.3389/fbioe.2020.00338 |
| Pubmed ID | |
| Authors |
Zhan-Heng Chen, Zhu-Hong You, Zhen-Hao Guo, Hai-Cheng Yi, Gong-Xu Luo, Yan-Bin Wang |
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 % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 12% |
| Student > Bachelor | 6 | 12% |
| Student > Master | 3 | 6% |
| Lecturer > Senior Lecturer | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 22 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 22% |
| Biochemistry, Genetics and Molecular Biology | 8 | 16% |
| Mathematics | 2 | 4% |
| Chemistry | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 23 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 29 August 2022.
All research outputs
#2,904,904
of 23,344,526 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#374
of 6,980 outputs
Outputs of similar age
#77,144
of 398,987 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#36
of 465 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,980 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 94% 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 398,987 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 80% of its contemporaries.
We're also able to compare this research output to 465 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.