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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
User Relationship Classification of Facebook Messenger Mobile Data using WEKA
|
|---|---|
| Chapter number | 25 |
| Book title |
Lecture Notes in Computer Science
|
| Published in |
Lecture notes in computer science, December 2018
|
| DOI | 10.1007/978-3-030-02744-5_25 |
| Book ISBNs |
978-3-03-002743-8, 978-3-03-002744-5
|
| Authors |
Amber Umair, Priyadarsi Nanda, Xiangjian He, Kim-Kwang Raymond Choo, Umair, Amber, Nanda, Priyadarsi, He, Xiangjian, Choo, Kim-Kwang Raymond |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 25% |
| Unspecified | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Researcher | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 11 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 10% |
| Computer Science | 2 | 10% |
| Unspecified | 1 | 5% |
| Mathematics | 1 | 5% |
| Sports and Recreations | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 12 | 60% |
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 18 December 2018.
All research outputs
#18,659,789
of 23,117,738 outputs
Outputs from Lecture notes in computer science
#6,027
of 8,146 outputs
Outputs of similar age
#323,666
of 435,331 outputs
Outputs of similar age from Lecture notes in computer science
#16
of 24 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,146 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 13th percentile – i.e., 13% 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 435,331 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.