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Mendeley readers
Attention Score in Context
Chapter title |
Pollen Grain Recognition Using Deep Learning
|
---|---|
Chapter number | 30 |
Book title |
Advances in Visual Computing
|
Published in |
Lecture notes in computer science, December 2016
|
DOI | 10.1007/978-3-319-50835-1_30 |
Book ISBNs |
978-3-31-950834-4, 978-3-31-950835-1
|
Authors |
Amar Daood, Eraldo Ribeiro, Mark Bush, Daood, Amar, Ribeiro, Eraldo, Bush, Mark |
Editors |
George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Fatih Porikli, Sandra Skaff, Alireza Entezari, Jianyuan Min, Daisuke Iwai, Amela Sadagic, Carlos Scheidegger, Tobias Isenberg |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 21% |
Student > Master | 5 | 17% |
Student > Bachelor | 4 | 14% |
Researcher | 2 | 7% |
Other | 2 | 7% |
Other | 3 | 10% |
Unknown | 7 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 21% |
Agricultural and Biological Sciences | 5 | 17% |
Engineering | 4 | 14% |
Earth and Planetary Sciences | 2 | 7% |
Unspecified | 1 | 3% |
Other | 3 | 10% |
Unknown | 8 | 28% |
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 24 February 2022.
All research outputs
#7,605,706
of 23,189,371 outputs
Outputs from Lecture notes in computer science
#2,492
of 8,154 outputs
Outputs of similar age
#139,994
of 420,956 outputs
Outputs of similar age from Lecture notes in computer science
#99
of 234 outputs
Altmetric has tracked 23,189,371 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 8,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. 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 420,956 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 234 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.