| Title |
Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks
|
|---|---|
| Published in |
BMC Bioinformatics, December 2019
|
| DOI | 10.1186/s12859-019-3079-8 |
| Pubmed ID | |
| Authors |
Canlin Zhang, Daniel Biś, Xiuwen Liu, Zhe He |
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% |
| France | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 17% |
| Student > Doctoral Student | 5 | 14% |
| Student > Ph. D. Student | 4 | 11% |
| Lecturer | 2 | 6% |
| Researcher | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 12 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 37% |
| Medicine and Dentistry | 3 | 9% |
| Engineering | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 13 | 37% |
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 14 December 2019.
All research outputs
#15,061,719
of 23,179,757 outputs
Outputs from BMC Bioinformatics
#5,104
of 7,344 outputs
Outputs of similar age
#262,356
of 459,103 outputs
Outputs of similar age from BMC Bioinformatics
#141
of 237 outputs
Altmetric has tracked 23,179,757 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,344 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 26th percentile – i.e., 26% 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 459,103 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 237 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.