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Mendeley readers
Attention Score in Context
| Title |
Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs
|
|---|---|
| Published in |
IEEE Transactions on Image Processing, April 2016
|
| DOI | 10.1109/tip.2016.2552401 |
| Pubmed ID | |
| Authors |
Mohsen Zand, Shyamala Doraisamy, Alfian Abdul Halin, Mas Rina Mustaffa |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 48 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 30% |
| Student > Master | 8 | 16% |
| Professor | 3 | 6% |
| Lecturer | 3 | 6% |
| Student > Doctoral Student | 3 | 6% |
| Other | 9 | 18% |
| Unknown | 9 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 27 | 54% |
| Engineering | 8 | 16% |
| Social Sciences | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 10 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 01 April 2021.
All research outputs
#8,535,684
of 25,377,790 outputs
Outputs from IEEE Transactions on Image Processing
#1,236
of 4,057 outputs
Outputs of similar age
#115,244
of 315,494 outputs
Outputs of similar age from IEEE Transactions on Image Processing
#20
of 42 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,057 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 29th percentile – i.e., 29% 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 315,494 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.