Title |
RETRACTED ARTICLE: The model for improving big data sub-image retrieval performance using scalable vocabulary tree based on predictive clustering
|
---|---|
Published in |
Cluster Computing, March 2016
|
DOI | 10.1007/s10586-016-0551-3 |
Authors |
Quan-Dong Feng, Miao Xu, Xin Zhang |
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 % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 13% |
Student > Doctoral Student | 2 | 13% |
Researcher | 2 | 13% |
Student > Master | 1 | 7% |
Lecturer > Senior Lecturer | 1 | 7% |
Other | 0 | 0% |
Unknown | 7 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 33% |
Business, Management and Accounting | 1 | 7% |
Social Sciences | 1 | 7% |
Unknown | 8 | 53% |
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 22 September 2018.
All research outputs
#20,533,782
of 23,103,903 outputs
Outputs from Cluster Computing
#257
of 278 outputs
Outputs of similar age
#254,503
of 300,243 outputs
Outputs of similar age from Cluster Computing
#3
of 3 outputs
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So far Altmetric has tracked 278 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.