| Title |
Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review
|
|---|---|
| Published in |
Neurosurgical Review, August 2019
|
| DOI | 10.1007/s10143-019-01163-8 |
| Pubmed ID | |
| Authors |
Quinlan D. Buchlak, Nazanin Esmaili, Jean-Christophe Leveque, Farrokh Farrokhi, Christine Bennett, Massimo Piccardi, Rajiv K. Sethi |
X Demographics
The data shown below were collected from the profiles of 11 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 Kingdom | 2 | 18% |
| Australia | 1 | 9% |
| Brazil | 1 | 9% |
| Canada | 1 | 9% |
| France | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Scientists | 2 | 18% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 259 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 259 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 10% |
| Student > Master | 27 | 10% |
| Student > Doctoral Student | 23 | 9% |
| Student > Bachelor | 23 | 9% |
| Other | 20 | 8% |
| Other | 56 | 22% |
| Unknown | 83 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 48 | 19% |
| Computer Science | 25 | 10% |
| Engineering | 17 | 7% |
| Unspecified | 13 | 5% |
| Neuroscience | 12 | 5% |
| Other | 50 | 19% |
| Unknown | 94 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 27 July 2022.
All research outputs
#2,026,740
of 23,577,761 outputs
Outputs from Neurosurgical Review
#8
of 658 outputs
Outputs of similar age
#43,640
of 344,779 outputs
Outputs of similar age from Neurosurgical Review
#1
of 13 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 658 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 98% 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 344,779 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 87% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.