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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces
|
---|---|
Chapter number | 6 |
Book title |
Mining, Modeling, and Recommending 'Things' in Social Media
|
Published in |
Lecture notes in computer science, February 2016
|
DOI | 10.1007/978-3-319-14723-9_6 |
Book ISBNs |
978-3-31-914722-2, 978-3-31-914723-9
|
Authors |
Emanuel Lacic, Dominik Kowald, Lukas Eberhard, Christoph Trattner, Denis Parra, Leandro Balby Marinho |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 33% |
Australia | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 4% |
Netherlands | 1 | 4% |
Austria | 1 | 4% |
Unknown | 23 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 19% |
Professor | 4 | 15% |
Student > Doctoral Student | 3 | 12% |
Researcher | 3 | 12% |
Student > Master | 2 | 8% |
Other | 3 | 12% |
Unknown | 6 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 16 | 62% |
Business, Management and Accounting | 1 | 4% |
Environmental Science | 1 | 4% |
Unknown | 8 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 05 February 2015.
All research outputs
#14,150,855
of 22,786,087 outputs
Outputs from Lecture notes in computer science
#4,297
of 8,124 outputs
Outputs of similar age
#209,289
of 400,637 outputs
Outputs of similar age from Lecture notes in computer science
#331
of 531 outputs
Altmetric has tracked 22,786,087 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 46th percentile – i.e., 46% 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 400,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 531 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.