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Mendeley readers
Attention Score in Context
Chapter title |
Parallel Blob Extraction Using the Multi-core Cell Processor
|
---|---|
Chapter number | 30 |
Book title |
Advanced Concepts for Intelligent Vision Systems
|
Published in |
Lecture notes in computer science, September 2009
|
DOI | 10.1007/978-3-642-04697-1_30 |
Pubmed ID | |
Book ISBNs |
978-3-64-204696-4, 978-3-64-204697-1
|
Authors |
Praveen Kumar, Kannappan Palaniappan, Ankush Mittal, Guna Seetharaman |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1 | 33% |
Student > Bachelor | 1 | 33% |
Student > Master | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 67% |
Engineering | 1 | 33% |
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 22 December 2022.
All research outputs
#7,687,335
of 23,392,375 outputs
Outputs from Lecture notes in computer science
#2,495
of 8,156 outputs
Outputs of similar age
#33,886
of 95,142 outputs
Outputs of similar age from Lecture notes in computer science
#7
of 38 outputs
Altmetric has tracked 23,392,375 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,156 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 54% 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 95,142 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.