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X Demographics
Mendeley readers
Attention Score in Context
Title |
A Multi-Task Deep Learning Method for Detection of Meniscal Tears in MRI Data from the Osteoarthritis Initiative Database
|
---|---|
Published in |
Frontiers in Bioengineering and Biotechnology, December 2021
|
DOI | 10.3389/fbioe.2021.747217 |
Pubmed ID | |
Authors |
Alexander Tack, Alexey Shestakov, David Lüdke, Stefan Zachow |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 5 | 17% |
Student > Ph. D. Student | 4 | 14% |
Researcher | 4 | 14% |
Student > Master | 4 | 14% |
Student > Doctoral Student | 3 | 10% |
Other | 2 | 7% |
Unknown | 7 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 6 | 21% |
Engineering | 4 | 14% |
Computer Science | 3 | 10% |
Nursing and Health Professions | 1 | 3% |
Economics, Econometrics and Finance | 1 | 3% |
Other | 4 | 14% |
Unknown | 10 | 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 03 December 2021.
All research outputs
#18,145,205
of 23,310,485 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,003
of 6,955 outputs
Outputs of similar age
#344,612
of 509,863 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#217
of 502 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,955 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 49th percentile – i.e., 49% 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 509,863 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 502 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 50% of its contemporaries.