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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Identifying Rationales of Strategies by Stakeholder Relationship Analysis to Refine and Maintain GQM+Strategies Models
|
---|---|
Chapter number | 6 |
Book title |
Product-Focused Software Process Improvement
|
Published in |
Lecture notes in computer science, December 2014
|
DOI | 10.1007/978-3-319-13835-0_6 |
Book ISBNs |
978-3-31-913834-3, 978-3-31-913835-0
|
Authors |
Takanobu Kobori, Hironori Washizaki, Yoshiaki Fukazawa, Daisuke Hirabayashi, Katsutoshi Shintani, Yasuko Okazaki, Yasuhiro Kikushima |
Editors |
Andreas Jedlitschka, Pasi Kuvaja, Marco Kuhrmann, Tomi Männistö, Jürgen Münch, Mikko Raatikainen |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 20% |
Spain | 1 | 20% |
Germany | 1 | 20% |
Finland | 1 | 20% |
Costa Rica | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 38% |
Researcher | 2 | 25% |
Student > Bachelor | 1 | 13% |
Professor > Associate Professor | 1 | 13% |
Unknown | 1 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 50% |
Economics, Econometrics and Finance | 1 | 13% |
Social Sciences | 1 | 13% |
Engineering | 1 | 13% |
Unknown | 1 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 11 December 2014.
All research outputs
#13,253,554
of 23,577,761 outputs
Outputs from Lecture notes in computer science
#3,757
of 8,140 outputs
Outputs of similar age
#172,331
of 365,121 outputs
Outputs of similar age from Lecture notes in computer science
#160
of 313 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,140 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 53% 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 365,121 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 52% of its contemporaries.
We're also able to compare this research output to 313 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.