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 |
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction
|
|---|---|
| Published in |
BMC Bioinformatics, June 2018
|
| DOI | 10.1186/s12859-018-2192-4 |
| Pubmed ID | |
| Authors |
Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar, Vasudeva Varma |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 99 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 20% |
| Student > Master | 15 | 15% |
| Student > Bachelor | 12 | 12% |
| Researcher | 10 | 10% |
| Student > Doctoral Student | 8 | 8% |
| Other | 12 | 12% |
| Unknown | 22 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 28 | 28% |
| Medicine and Dentistry | 9 | 9% |
| Agricultural and Biological Sciences | 4 | 4% |
| Decision Sciences | 4 | 4% |
| Engineering | 4 | 4% |
| Other | 18 | 18% |
| Unknown | 32 | 32% |
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 08 August 2020.
All research outputs
#14,909,862
of 24,143,470 outputs
Outputs from BMC Bioinformatics
#4,613
of 7,506 outputs
Outputs of similar age
#183,002
of 332,724 outputs
Outputs of similar age from BMC Bioinformatics
#53
of 100 outputs
Altmetric has tracked 24,143,470 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 7,506 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 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 332,724 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 100 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.