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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Nonconvex Nonlocal Tucker Decomposition for 3D Medical Image Super-Resolution
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, April 2022
|
| DOI | 10.3389/fninf.2022.880301 |
| Pubmed ID | |
| Authors |
Huidi Jia, Xi'ai Chen, Zhi Han, Baichen Liu, Tianhui Wen, Yandong Tang |
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 % |
|---|---|---|
| Switzerland | 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 50% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 1 | 25% |
| Engineering | 1 | 25% |
| Unknown | 2 | 50% |
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 13 May 2022.
All research outputs
#18,810,584
of 23,312,088 outputs
Outputs from Frontiers in Neuroinformatics
#634
of 764 outputs
Outputs of similar age
#317,580
of 442,849 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#18
of 23 outputs
Altmetric has tracked 23,312,088 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 764 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 9th percentile – i.e., 9% 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 442,849 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.