You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
Chapter title |
Segmentation of Complex Images Based on Component-Trees: Methodological Tools
|
---|---|
Chapter number | 16 |
Book title |
Mathematical Morphology and Its Application to Signal and Image Processing
|
Published in |
ADS, August 2009
|
DOI | 10.1007/978-3-642-03613-2_16 |
Book ISBNs |
978-3-64-203612-5, 978-3-64-203613-2
|
Authors |
Benoît Caldairou, Benoît Naegel, Nicolas Passat, Caldairou, Benoît, Naegel, Benoît, Passat, Nicolas |
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 | 2 | 67% |
Researcher | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 March 2018.
All research outputs
#4,225,497
of 23,025,074 outputs
Outputs from ADS
#3,341
of 37,452 outputs
Outputs of similar age
#16,345
of 96,000 outputs
Outputs of similar age from ADS
#33
of 401 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,452 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 88% 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 96,000 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 401 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.