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Mendeley readers
Attention Score in Context
Chapter title |
Requirements Identification for Migrating eGovernment Applications to the Cloud
|
---|---|
Chapter number | 15 |
Book title |
Information and Communication Technology
|
Published in |
Lecture notes in computer science, April 2014
|
DOI | 10.1007/978-3-642-55032-4_15 |
Book ISBNs |
978-3-64-255031-7, 978-3-64-255032-4
|
Authors |
Evangelos Gongolidis, Christos Kalloniatis, Evangelia Kavakli |
Editors |
Linawati, Made Sudiana Mahendra, Erich J. Neuhold, A Min Tjoa, Ilsun You |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 1 | 4% |
Portugal | 1 | 4% |
Brazil | 1 | 4% |
Unknown | 20 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 22% |
Student > Master | 4 | 17% |
Student > Doctoral Student | 3 | 13% |
Professor > Associate Professor | 2 | 9% |
Lecturer > Senior Lecturer | 1 | 4% |
Other | 4 | 17% |
Unknown | 4 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 61% |
Social Sciences | 3 | 13% |
Business, Management and Accounting | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Unspecified | 1 | 4% |
Other | 0 | 0% |
Unknown | 3 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 January 2015.
All research outputs
#7,518,189
of 22,953,506 outputs
Outputs from Lecture notes in computer science
#2,491
of 8,133 outputs
Outputs of similar age
#74,790
of 227,558 outputs
Outputs of similar age from Lecture notes in computer science
#22
of 98 outputs
Altmetric has tracked 22,953,506 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,133 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 227,558 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.