| Title |
A novel approach to neuraxial anesthesia: application of an automated ultrasound spinal landmark identification
|
|---|---|
| Published in |
BMC Anesthesiology, April 2019
|
| DOI | 10.1186/s12871-019-0726-6 |
| Pubmed ID | |
| Authors |
Ting Ting Oh, Mohammad Ikhsan, Kok Kiong Tan, Sultana Rehena, Nian-Lin Reena Han, Alex Tiong Heng Sia, Ban Leong Sng |
X Demographics
The data shown below were collected from the profiles of 7 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 | 29% |
| United Kingdom | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 5 | 13% |
| Student > Doctoral Student | 4 | 10% |
| Other | 4 | 10% |
| Researcher | 4 | 10% |
| Student > Master | 4 | 10% |
| Other | 6 | 15% |
| Unknown | 13 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 48% |
| Engineering | 2 | 5% |
| Nursing and Health Professions | 2 | 5% |
| Linguistics | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 15 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 July 2021.
All research outputs
#1,803,668
of 23,142,049 outputs
Outputs from BMC Anesthesiology
#34
of 1,520 outputs
Outputs of similar age
#39,146
of 319,127 outputs
Outputs of similar age from BMC Anesthesiology
#2
of 53 outputs
Altmetric has tracked 23,142,049 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,520 research outputs from this source. They receive a mean Attention Score of 3.1. 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 319,127 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 53 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 96% of its contemporaries.