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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Clinical Assessment of Dental Implant Stability During Follow-Up: What Is Actually Measured, and Perspectives
|
|---|---|
| Published in |
Biosensors, July 2018
|
| DOI | 10.3390/bios8030068 |
| Pubmed ID | |
| Authors |
Elisabetta M. Zanetti, Giulia Pascoletti, Michele Calì, Cristina Bignardi, Giordano Franceschini |
| Abstract |
The optimization of loading protocols following dental implant insertion requires setting up patient-specific protocols, customized according to the actual implant osseointegration, measured through quantitative, objective methods. Various devices for the assessment of implant stability as an indirect measure of implant osseointegration have been developed. They are analyzed here, introducing the respective physical models, outlining major advantages and critical aspects, and reporting their clinical performance. A careful discussion of underlying hypotheses is finally reported, as is a suggestion for further development of instrumentation and signal analysis. |
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 % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 104 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 13% |
| Student > Ph. D. Student | 11 | 11% |
| Student > Doctoral Student | 11 | 11% |
| Student > Bachelor | 10 | 10% |
| Student > Postgraduate | 9 | 9% |
| Other | 17 | 16% |
| Unknown | 33 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 45 | 43% |
| Engineering | 15 | 14% |
| Business, Management and Accounting | 2 | 2% |
| Unspecified | 2 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | <1% |
| Other | 4 | 4% |
| Unknown | 35 | 34% |
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 02 August 2018.
All research outputs
#18,645,475
of 23,098,660 outputs
Outputs from Biosensors
#987
of 1,390 outputs
Outputs of similar age
#252,406
of 327,042 outputs
Outputs of similar age from Biosensors
#22
of 27 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,390 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 15th percentile – i.e., 15% 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 327,042 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% 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 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.