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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting decompression surgery by applying multimodal deep learning to patients’ structured and unstructured health data
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2023
|
| DOI | 10.1186/s12911-022-02096-x |
| Pubmed ID | |
| Authors |
Chethan Jujjavarapu, Pradeep Suri, Vikas Pejaver, Janna Friedly, Laura S. Gold, Eric Meier, Trevor Cohen, Sean D. Mooney, Patrick J. Heagerty, Jeffrey G. Jarvik |
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 % |
|---|---|---|
| United States | 2 | 67% |
| Netherlands | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 14% |
| Student > Master | 3 | 10% |
| Student > Postgraduate | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Student > Doctoral Student | 1 | 3% |
| Other | 5 | 17% |
| Unknown | 12 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 14% |
| Medicine and Dentistry | 4 | 14% |
| Computer Science | 3 | 10% |
| Engineering | 2 | 7% |
| Business, Management and Accounting | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 13 | 45% |
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 08 January 2023.
All research outputs
#15,640,445
of 24,045,834 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,268
of 2,055 outputs
Outputs of similar age
#224,774
of 439,534 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#19
of 44 outputs
Altmetric has tracked 24,045,834 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,055 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 37th percentile – i.e., 37% 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 439,534 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 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 56% of its contemporaries.