Title |
Study of serious adverse drug reactions using FDA-approved drug labeling and MedDRA
|
---|---|
Published in |
BMC Bioinformatics, March 2019
|
DOI | 10.1186/s12859-019-2628-5 |
Pubmed ID | |
Authors |
Leihong Wu, Taylor Ingle, Zhichao Liu, Anna Zhao-Wong, Stephen Harris, Shraddha Thakkar, Guangxu Zhou, Junshuang Yang, Joshua Xu, Darshan Mehta, Weigong Ge, Weida Tong, Hong Fang |
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 % |
---|---|---|
Colombia | 1 | 25% |
Sweden | 1 | 25% |
United Kingdom | 1 | 25% |
Spain | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 60 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 18% |
Student > Master | 7 | 12% |
Student > Bachelor | 6 | 10% |
Researcher | 5 | 8% |
Student > Postgraduate | 3 | 5% |
Other | 4 | 7% |
Unknown | 24 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Pharmacology, Toxicology and Pharmaceutical Science | 9 | 15% |
Medicine and Dentistry | 8 | 13% |
Psychology | 4 | 7% |
Computer Science | 4 | 7% |
Biochemistry, Genetics and Molecular Biology | 3 | 5% |
Other | 5 | 8% |
Unknown | 27 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 25 June 2019.
All research outputs
#14,157,072
of 23,133,982 outputs
Outputs from BMC Bioinformatics
#4,529
of 7,337 outputs
Outputs of similar age
#189,607
of 351,896 outputs
Outputs of similar age from BMC Bioinformatics
#84
of 168 outputs
Altmetric has tracked 23,133,982 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,337 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 35th percentile – i.e., 35% 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 351,896 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.