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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Integration and Dissemination of Citizen Reported and Seismically Derived Earthquake Information via Social Network Technologies
|
|---|---|
| Chapter number | 6 |
| Book title |
Advances in Intelligent Data Analysis IX
|
| Published in |
Lecture notes in computer science, May 2010
|
| DOI | 10.1007/978-3-642-13062-5_6 |
| Book ISBNs |
978-3-64-213061-8, 978-3-64-213062-5
|
| Authors |
Michelle Guy, Paul Earle, Chris Ostrum, Kenny Gruchalla, Scott Horvath, Guy, Michelle, Earle, Paul, Ostrum, Chris, Gruchalla, Kenny, Horvath, Scott |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Switzerland | 2 | 3% |
| Netherlands | 1 | 1% |
| Germany | 1 | 1% |
| United Kingdom | 1 | 1% |
| Brazil | 1 | 1% |
| Denmark | 1 | 1% |
| Sri Lanka | 1 | 1% |
| Unknown | 63 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 23% |
| Researcher | 14 | 19% |
| Student > Master | 13 | 18% |
| Student > Doctoral Student | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Other | 12 | 16% |
| Unknown | 8 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 30 | 41% |
| Earth and Planetary Sciences | 8 | 11% |
| Social Sciences | 8 | 11% |
| Engineering | 5 | 7% |
| Business, Management and Accounting | 4 | 5% |
| Other | 7 | 9% |
| Unknown | 12 | 16% |
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 24 November 2015.
All research outputs
#18,430,915
of 22,833,393 outputs
Outputs from Lecture notes in computer science
#6,013
of 8,127 outputs
Outputs of similar age
#84,896
of 94,477 outputs
Outputs of similar age from Lecture notes in computer science
#30
of 45 outputs
Altmetric has tracked 22,833,393 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 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 14th percentile – i.e., 14% 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 94,477 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.