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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Does Sentiment Analysis Help in Bayesian Spam Filtering?
|
|---|---|
| Chapter number | 7 |
| Book title |
Hybrid Artificial Intelligent Systems
|
| Published in |
Lecture notes in computer science, April 2016
|
| DOI | 10.1007/978-3-319-32034-2_7 |
| Book ISBNs |
978-3-31-932033-5, 978-3-31-932034-2
|
| Authors |
Enaitz Ezpeleta, Urko Zurutuza, José María Gómez Hidalgo |
| Editors |
Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, Emilio Corchado |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Denmark | 1 | 20% |
| Spain | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 14% |
| Student > Bachelor | 2 | 10% |
| Lecturer | 2 | 10% |
| Researcher | 2 | 10% |
| Professor | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 8 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 48% |
| Environmental Science | 1 | 5% |
| Business, Management and Accounting | 1 | 5% |
| Social Sciences | 1 | 5% |
| Unknown | 8 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 April 2016.
All research outputs
#7,167,249
of 22,865,319 outputs
Outputs from Lecture notes in computer science
#2,379
of 8,127 outputs
Outputs of similar age
#102,011
of 300,626 outputs
Outputs of similar age from Lecture notes in computer science
#39
of 142 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 70% 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 300,626 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 65% of its contemporaries.
We're also able to compare this research output to 142 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 72% of its contemporaries.