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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An interpretable neural network for outcome prediction in traumatic brain injury
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, August 2022
|
| DOI | 10.1186/s12911-022-01953-z |
| Pubmed ID | |
| Authors |
Cristian Minoccheri, Craig A. Williamson, Mark Hemmila, Kevin Ward, Erica B. Stein, Jonathan Gryak, Kayvan Najarian |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 21% |
| Student > Master | 2 | 11% |
| Professor > Associate Professor | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Unspecified | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 6 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 21% |
| Medicine and Dentistry | 3 | 16% |
| Business, Management and Accounting | 2 | 11% |
| Arts and Humanities | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 6 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 06 August 2022.
All research outputs
#20,480,611
of 23,041,514 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,817
of 2,007 outputs
Outputs of similar age
#342,465
of 431,843 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#47
of 60 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,007 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 431,843 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.