| Title |
A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data
|
|---|---|
| Published in |
International Journal of Medical Informatics, February 2019
|
| DOI | 10.1016/j.ijmedinf.2019.02.008 |
| Pubmed ID | |
| Authors |
Caitlin Dreisbach, Theresa A Koleck, Philip E Bourne, Suzanne Bakken |
X Demographics
The data shown below were collected from the profiles of 12 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 | 5 | 42% |
| Switzerland | 1 | 8% |
| United Kingdom | 1 | 8% |
| France | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 83% |
| Scientists | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 466 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 466 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 52 | 11% |
| Student > Master | 51 | 11% |
| Researcher | 43 | 9% |
| Student > Bachelor | 35 | 8% |
| Lecturer | 22 | 5% |
| Other | 86 | 18% |
| Unknown | 177 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 81 | 17% |
| Medicine and Dentistry | 36 | 8% |
| Nursing and Health Professions | 32 | 7% |
| Engineering | 24 | 5% |
| Social Sciences | 15 | 3% |
| Other | 83 | 18% |
| Unknown | 195 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 27 February 2024.
All research outputs
#3,420,098
of 25,440,205 outputs
Outputs from International Journal of Medical Informatics
#218
of 1,874 outputs
Outputs of similar age
#73,651
of 367,175 outputs
Outputs of similar age from International Journal of Medical Informatics
#8
of 31 outputs
Altmetric has tracked 25,440,205 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,874 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 88% of its peers.
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 367,175 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.