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Mendeley readers
Attention Score in Context
Chapter title |
A Semi-automatic Method for Domain Ontology Extraction from Portuguese Language Wikipedia’s Categories
|
---|---|
Chapter number | 2 |
Book title |
Advances in Artificial Intelligence – SBIA 2010
|
Published in |
Lecture notes in computer science, October 2010
|
DOI | 10.1007/978-3-642-16138-4_2 |
Book ISBNs |
978-3-64-216137-7, 978-3-64-216138-4
|
Authors |
Clarissa Castellã Xavier, Vera Lúcia Strube de Lima |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Saudi Arabia | 1 | 8% |
Unknown | 12 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 4 | 31% |
Researcher | 3 | 23% |
Student > Ph. D. Student | 2 | 15% |
Student > Master | 2 | 15% |
Professor > Associate Professor | 1 | 8% |
Other | 0 | 0% |
Unknown | 1 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 10 | 77% |
Social Sciences | 1 | 8% |
Engineering | 1 | 8% |
Unknown | 1 | 8% |
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 11 January 2015.
All research outputs
#20,248,338
of 22,776,824 outputs
Outputs from Lecture notes in computer science
#6,981
of 8,124 outputs
Outputs of similar age
#94,187
of 99,514 outputs
Outputs of similar age from Lecture notes in computer science
#36
of 44 outputs
Altmetric has tracked 22,776,824 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% 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 99,514 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.