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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Extraction of sleep information from clinical notes of Alzheimer’s disease patients using natural language processing
|
|---|---|
| Published in |
Journal of the American Medical Informatics Association, July 2024
|
| DOI | 10.1093/jamia/ocae177 |
| Pubmed ID | |
| Authors |
Sonish Sivarajkumar, Thomas Yu Chow Tam, Haneef Ahamed Mohammad, Samuel Viggiano, David Oniani, Shyam Visweswaran, Yanshan Wang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 10% |
| Researcher | 1 | 10% |
| Student > Master | 1 | 10% |
| Unknown | 7 | 70% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 10% |
| Business, Management and Accounting | 1 | 10% |
| Computer Science | 1 | 10% |
| Unknown | 7 | 70% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 19 July 2024.
All research outputs
#2,946,838
of 26,363,900 outputs
Outputs from Journal of the American Medical Informatics Association
#818
of 3,382 outputs
Outputs of similar age
#17,920
of 167,071 outputs
Outputs of similar age from Journal of the American Medical Informatics Association
#3
of 18 outputs
Altmetric has tracked 26,363,900 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,382 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 75% 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 167,071 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 89% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.