| Title |
Extraction of Geriatric Syndromes From Electronic Health Record Clinical Notes: Assessment of Statistical Natural Language Processing Methods
|
|---|---|
| Published in |
JMIR Medical Informatics, March 2019
|
| DOI | 10.2196/13039 |
| Pubmed ID | |
| Authors |
Tao Chen, Mark Dredze, Jonathan P Weiner, Leilani Hernandez, Joe Kimura, Hadi Kharrazi |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
| Kenya | 1 | 14% |
| Germany | 1 | 14% |
| France | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 11% |
| Student > Master | 8 | 11% |
| Researcher | 6 | 8% |
| Student > Bachelor | 5 | 7% |
| Student > Postgraduate | 5 | 7% |
| Other | 13 | 17% |
| Unknown | 30 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 17% |
| Medicine and Dentistry | 6 | 8% |
| Psychology | 6 | 8% |
| Business, Management and Accounting | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Other | 12 | 16% |
| Unknown | 32 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 28 March 2019.
All research outputs
#7,072,349
of 23,133,982 outputs
Outputs from JMIR Medical Informatics
#374
of 1,137 outputs
Outputs of similar age
#132,116
of 351,296 outputs
Outputs of similar age from JMIR Medical Informatics
#15
of 30 outputs
Altmetric has tracked 23,133,982 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,137 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 66% 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 351,296 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.