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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of adverse drug reactions based on knowledge graph embedding
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, February 2021
|
| DOI | 10.1186/s12911-021-01402-3 |
| Pubmed ID | |
| Authors |
Fei Zhang, Bo Sun, Xiaolin Diao, Wei Zhao, Ting Shu |
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 % |
|---|---|---|
| Sweden | 1 | 50% |
| Spain | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 11% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Master | 4 | 7% |
| Lecturer | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 4 | 7% |
| Unknown | 31 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 16% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Chemistry | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 33 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 September 2021.
All research outputs
#3,484,692
of 25,837,817 outputs
Outputs from BMC Medical Informatics and Decision Making
#269
of 2,159 outputs
Outputs of similar age
#96,300
of 537,807 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#8
of 62 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 87% 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 537,807 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 81% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.