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Mendeley readers
Attention Score in Context
| Chapter title |
Breaking reCAPTCHAs with unpredictable collapse: heuristic character segmentation and recognition
|
|---|---|
| Chapter number | 16 |
| Book title |
Pattern Recognition
|
| Published in |
Lecture notes in computer science, January 2012
|
| DOI | 10.1007/978-3-642-31149-9_16 |
| Book ISBNs |
978-3-64-231148-2, 978-3-64-231149-9
|
| Authors |
Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera López, Kim L. Boyer, Claudia Cruz-Perez, Oleg Starostenko, Fernando Uceda-Ponga, Vicente Alarcon-Aquino, Leobardo Reyes-Cabrera, Cruz-Perez, Claudia, Starostenko, Oleg, Uceda-Ponga, Fernando, Alarcon-Aquino, Vicente, Reyes-Cabrera, Leobardo |
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 % |
|---|---|---|
| Brazil | 1 | 3% |
| Unknown | 28 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 24% |
| Student > Ph. D. Student | 5 | 17% |
| Lecturer | 4 | 14% |
| Student > Bachelor | 2 | 7% |
| Professor | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 6 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 59% |
| Engineering | 4 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Unknown | 7 | 24% |
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 30 October 2023.
All research outputs
#7,746,777
of 23,555,482 outputs
Outputs from Lecture notes in computer science
#2,493
of 8,139 outputs
Outputs of similar age
#72,132
of 247,731 outputs
Outputs of similar age from Lecture notes in computer science
#146
of 489 outputs
Altmetric has tracked 23,555,482 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 8,139 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 247,731 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 489 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.