| Title |
Survey on RNN and CRF models for de-identification of medical free text
|
|---|---|
| Published in |
Journal of Big Data, September 2020
|
| DOI | 10.1186/s40537-020-00351-4 |
| Authors |
Joffrey L. Leevy, Taghi M. Khoshgoftaar, Flavio Villanustre |
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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 12% |
| Student > Master | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Student > Doctoral Student | 3 | 7% |
| Lecturer | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 20 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 30% |
| Engineering | 4 | 9% |
| Business, Management and Accounting | 2 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 19 | 44% |
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 16 December 2020.
All research outputs
#14,210,871
of 23,234,261 outputs
Outputs from Journal of Big Data
#178
of 348 outputs
Outputs of similar age
#214,060
of 399,380 outputs
Outputs of similar age from Journal of Big Data
#15
of 24 outputs
Altmetric has tracked 23,234,261 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 348 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 48th percentile – i.e., 48% 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 399,380 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 24 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.