| Title |
A Multiphase Image Segmentation Based on Fuzzy Membership Functions and L1-Norm Fidelity
|
|---|---|
| Published in |
Journal of Scientific Computing, February 2016
|
| DOI | 10.1007/s10915-016-0183-z |
| Authors |
Fang Li, Stanley Osher, Jing Qin, Ming Yan |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 13% |
| Unknown | 7 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 38% |
| Professor | 2 | 25% |
| Unknown | 3 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 25% |
| Computer Science | 2 | 25% |
| Mathematics | 1 | 13% |
| Unknown | 3 | 38% |
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 April 2015.
All research outputs
#19,246,640
of 23,852,579 outputs
Outputs from Journal of Scientific Computing
#263
of 862 outputs
Outputs of similar age
#219,895
of 301,161 outputs
Outputs of similar age from Journal of Scientific Computing
#1
of 6 outputs
Altmetric has tracked 23,852,579 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 862 research outputs from this source. They receive a mean Attention Score of 0.7. This one has gotten more attention than average, scoring higher than 65% 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 301,161 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them