| Title |
Use of natural language processing in electronic medical records to identify pregnant women with suicidal behavior: towards a solution to the complex classification problem
|
|---|---|
| Published in |
European Journal of Epidemiology, December 2018
|
| DOI | 10.1007/s10654-018-0470-0 |
| Pubmed ID | |
| Authors |
Qiu-Yue Zhong, Leena P. Mittal, Margo D. Nathan, Kara M. Brown, Deborah Knudson González, Tianrun Cai, Sean Finan, Bizu Gelaye, Paul Avillach, Jordan W. Smoller, Elizabeth W. Karlson, Tianxi Cai, Michelle A. Williams |
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 % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 95 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 17% |
| Student > Ph. D. Student | 10 | 11% |
| Student > Master | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Professor > Associate Professor | 6 | 6% |
| Other | 15 | 16% |
| Unknown | 35 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 16% |
| Computer Science | 12 | 13% |
| Nursing and Health Professions | 4 | 4% |
| Social Sciences | 4 | 4% |
| Engineering | 4 | 4% |
| Other | 15 | 16% |
| Unknown | 41 | 43% |
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 06 September 2021.
All research outputs
#14,148,538
of 23,117,738 outputs
Outputs from European Journal of Epidemiology
#1,248
of 1,644 outputs
Outputs of similar age
#227,863
of 436,845 outputs
Outputs of similar age from European Journal of Epidemiology
#11
of 22 outputs
Altmetric has tracked 23,117,738 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 1,644 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.4. This one is in the 22nd percentile – i.e., 22% 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 436,845 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.