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Twitter Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
SciRecSys: A Recommendation System for Scientific Publication by Discovering Keyword Relationships
|
|---|---|
| Chapter number | 8 |
| Book title |
Computational Collective Intelligence. Technologies and Applications
|
| Published in |
arXiv, September 2014
|
| DOI | 10.1007/978-3-319-11289-3_8 |
| Book ISBNs |
978-3-31-911288-6, 978-3-31-911289-3
|
| Authors |
Vu Le Anh, Vo Hoang Hai, Hung Nghiep Tran, Jason J. Jung, Le Anh, Vu, Hoang Hai, Vo, Tran, Hung Nghiep, Jung, Jason J. |
Twitter Demographics
The data shown below were collected from the profiles of 2 tweeters 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 6% |
| India | 1 | 6% |
| Unknown | 16 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 22% |
| Student > Doctoral Student | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Researcher | 2 | 11% |
| Student > Master | 2 | 11% |
| Other | 3 | 17% |
| Unknown | 3 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 67% |
| Arts and Humanities | 2 | 11% |
| Engineering | 1 | 6% |
| Unknown | 3 | 17% |
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 03 March 2015.
All research outputs
#18,401,956
of 22,793,427 outputs
Outputs from arXiv
#534,180
of 935,912 outputs
Outputs of similar age
#179,889
of 252,207 outputs
Outputs of similar age from arXiv
#4,301
of 10,522 outputs
Altmetric has tracked 22,793,427 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 935,912 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 28th percentile – i.e., 28% 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 252,207 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10,522 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.