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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CGINet: graph convolutional network-based model for identifying chemical-gene interaction in an integrated multi-relational graph
|
|---|---|
| Published in |
BMC Bioinformatics, November 2020
|
| DOI | 10.1186/s12859-020-03899-3 |
| Pubmed ID | |
| Authors |
Wei Wang, Xi Yang, Chengkun Wu, Canqun Yang |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 25% |
| Sweden | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 17% |
| Student > Ph. D. Student | 5 | 17% |
| Student > Doctoral Student | 3 | 10% |
| Student > Postgraduate | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 10 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 23% |
| Agricultural and Biological Sciences | 4 | 13% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Engineering | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 11 | 37% |
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 28 November 2020.
All research outputs
#15,656,702
of 23,267,128 outputs
Outputs from BMC Bioinformatics
#5,458
of 7,366 outputs
Outputs of similar age
#306,242
of 509,028 outputs
Outputs of similar age from BMC Bioinformatics
#138
of 173 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,366 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 509,028 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.