| Title |
Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases
|
|---|---|
| Published in |
BMC Bioinformatics, December 2018
|
| DOI | 10.1186/s12859-018-2520-8 |
| Pubmed ID | |
| Authors |
Yi Zheng, Hui Peng, Xiaocai Zhang, Zhixun Zhao, Jie Yin, Jinyan Li |
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 % |
|---|---|---|
| United States | 1 | 50% |
| United Kingdom | 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 17% |
| Student > Master | 11 | 15% |
| Researcher | 8 | 11% |
| Student > Doctoral Student | 6 | 8% |
| Student > Bachelor | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 21 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 21% |
| Medicine and Dentistry | 9 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 10% |
| Biochemistry, Genetics and Molecular Biology | 5 | 7% |
| Agricultural and Biological Sciences | 4 | 6% |
| Other | 8 | 11% |
| Unknown | 23 | 32% |
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 21 March 2019.
All research outputs
#15,702,774
of 23,335,153 outputs
Outputs from BMC Bioinformatics
#5,487
of 7,387 outputs
Outputs of similar age
#266,485
of 438,730 outputs
Outputs of similar age from BMC Bioinformatics
#146
of 216 outputs
Altmetric has tracked 23,335,153 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 7,387 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 438,730 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 216 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.