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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated Steerable Path Planning for Deep Brain Stimulation Safeguarding Fiber Tracts and Deep Gray Matter Nuclei
|
|---|---|
| Published in |
Frontiers in Robotics and AI, August 2019
|
| DOI | 10.3389/frobt.2019.00070 |
| Pubmed ID | |
| Authors |
Alice Segato, Valentina Pieri, Alberto Favaro, Marco Riva, Andrea Falini, Elena De Momi, Antonella Castellano |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 22% |
| Spain | 1 | 11% |
| United Kingdom | 1 | 11% |
| Switzerland | 1 | 11% |
| Italy | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 22% |
| Student > Ph. D. Student | 6 | 19% |
| Student > Bachelor | 5 | 16% |
| Student > Master | 2 | 6% |
| Professor | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 9 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 19% |
| Medicine and Dentistry | 4 | 13% |
| Computer Science | 3 | 9% |
| Neuroscience | 3 | 9% |
| Business, Management and Accounting | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 11 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 10 August 2019.
All research outputs
#5,913,735
of 24,319,828 outputs
Outputs from Frontiers in Robotics and AI
#335
of 1,633 outputs
Outputs of similar age
#98,360
of 348,653 outputs
Outputs of similar age from Frontiers in Robotics and AI
#14
of 44 outputs
Altmetric has tracked 24,319,828 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,633 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 79% 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 348,653 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
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 70% of its contemporaries.