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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
TRCM: A Methodology for Temporal Analysis of Evolving Concepts in Twitter
|
---|---|
Chapter number | 13 |
Book title |
Artificial Intelligence and Soft Computing
|
Published in |
Lecture notes in computer science, January 2013
|
DOI | 10.1007/978-3-642-38610-7_13 |
Book ISBNs |
978-3-64-238609-1, 978-3-64-238610-7
|
Authors |
Adedoyin-Olowe, Mariam, Gaber, Mohamed Medhat, Stahl, Frederic, Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic Stahl |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Australia | 2 | 7% |
United Kingdom | 1 | 3% |
Unknown | 26 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 48% |
Student > Postgraduate | 3 | 10% |
Student > Master | 2 | 7% |
Lecturer | 1 | 3% |
Student > Bachelor | 1 | 3% |
Other | 3 | 10% |
Unknown | 5 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 45% |
Social Sciences | 3 | 10% |
Engineering | 2 | 7% |
Economics, Econometrics and Finance | 1 | 3% |
Arts and Humanities | 1 | 3% |
Other | 2 | 7% |
Unknown | 7 | 24% |
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 23 February 2019.
All research outputs
#14,171,074
of 22,711,645 outputs
Outputs from Lecture notes in computer science
#4,305
of 8,124 outputs
Outputs of similar age
#167,513
of 280,737 outputs
Outputs of similar age from Lecture notes in computer science
#167
of 314 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% 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 44th percentile – i.e., 44% 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 280,737 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 314 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.