| Title |
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
|
|---|---|
| Published in |
JMIR Medical Informatics, April 2019
|
| DOI | 10.2196/12239 |
| Pubmed ID | |
| Authors |
Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani |
X Demographics
The data shown below were collected from the profiles of 29 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 | 6 | 21% |
| Spain | 3 | 10% |
| United Kingdom | 2 | 7% |
| Italy | 1 | 3% |
| Israel | 1 | 3% |
| Canada | 1 | 3% |
| Brazil | 1 | 3% |
| Germany | 1 | 3% |
| France | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 12 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 86% |
| Scientists | 4 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 527 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 527 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 87 | 17% |
| Student > Ph. D. Student | 64 | 12% |
| Student > Master | 56 | 11% |
| Student > Bachelor | 36 | 7% |
| Student > Doctoral Student | 35 | 7% |
| Other | 99 | 19% |
| Unknown | 150 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 107 | 20% |
| Medicine and Dentistry | 73 | 14% |
| Engineering | 32 | 6% |
| Unspecified | 23 | 4% |
| Biochemistry, Genetics and Molecular Biology | 16 | 3% |
| Other | 100 | 19% |
| Unknown | 176 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 25 April 2024.
All research outputs
#1,165,496
of 25,805,386 outputs
Outputs from JMIR Medical Informatics
#33
of 1,262 outputs
Outputs of similar age
#25,940
of 364,340 outputs
Outputs of similar age from JMIR Medical Informatics
#4
of 31 outputs
Altmetric has tracked 25,805,386 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,262 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 97% 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 364,340 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% 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 87% of its contemporaries.