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Twitter Demographics
Mendeley readers
Attention Score in Context
Chapter title |
A Framework to Build Games with a Purpose for Linked Data Refinement
|
---|---|
Chapter number | 10 |
Book title |
The Semantic Web – ISWC 2018
|
Published in |
arXiv, September 2018
|
DOI | 10.1007/978-3-030-00668-6_10 |
Book ISBNs |
978-3-03-000667-9, 978-3-03-000668-6
|
Authors |
Gloria Re Calegari, Andrea Fiano, Irene Celino |
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 % |
---|---|---|
Italy | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 16% |
Student > Ph. D. Student | 4 | 16% |
Student > Doctoral Student | 3 | 12% |
Researcher | 3 | 12% |
Other | 2 | 8% |
Other | 4 | 16% |
Unknown | 5 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 17 | 68% |
Business, Management and Accounting | 1 | 4% |
Earth and Planetary Sciences | 1 | 4% |
Engineering | 1 | 4% |
Unknown | 5 | 20% |
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 22 November 2018.
All research outputs
#17,991,384
of 23,105,443 outputs
Outputs from arXiv
#444,768
of 949,599 outputs
Outputs of similar age
#244,892
of 341,709 outputs
Outputs of similar age from arXiv
#14,814
of 24,274 outputs
Altmetric has tracked 23,105,443 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 949,599 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 43rd percentile – i.e., 43% 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 341,709 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24,274 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.