| Title |
Spatio-temporal deep learning models for tip force estimation during needle insertion
|
|---|---|
| Published in |
International Journal of Computer Assisted Radiology and Surgery, May 2019
|
| DOI | 10.1007/s11548-019-02006-z |
| Pubmed ID | |
| Authors |
Nils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nigeria | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 52% |
| Student > Bachelor | 2 | 6% |
| Researcher | 2 | 6% |
| Unspecified | 1 | 3% |
| Student > Master | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 9 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 26% |
| Computer Science | 4 | 13% |
| Unspecified | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 13 | 42% |
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 10 January 2020.
All research outputs
#18,937,691
of 24,133,587 outputs
Outputs from International Journal of Computer Assisted Radiology and Surgery
#647
of 917 outputs
Outputs of similar age
#250,768
of 353,897 outputs
Outputs of similar age from International Journal of Computer Assisted Radiology and Surgery
#19
of 27 outputs
Altmetric has tracked 24,133,587 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 917 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 27th percentile – i.e., 27% 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 353,897 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.