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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Product-Focused Software Process Improvement
|
|---|---|
| Published by |
Lecture notes in computer science, January 2014
|
| DOI | 10.1007/978-3-319-13835-0 |
| ISBNs |
978-3-31-913834-3, 978-3-31-913835-0
|
| Authors |
Andreas Jedlitschka, Pasi Kuvaja, Marco Kuhrmann, Tomi Männistö, Jürgen Münch, Mikko Raatikainen |
| 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 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 25% |
| Spain | 1 | 13% |
| Japan | 1 | 13% |
| Costa Rica | 1 | 13% |
| Finland | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| South Africa | 1 | 1% |
| Unknown | 82 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 31% |
| Student > Ph. D. Student | 14 | 17% |
| Researcher | 9 | 11% |
| Student > Bachelor | 6 | 7% |
| Student > Doctoral Student | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 21 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 31 | 37% |
| Business, Management and Accounting | 11 | 13% |
| Engineering | 11 | 13% |
| Design | 2 | 2% |
| Economics, Econometrics and Finance | 1 | 1% |
| Other | 7 | 8% |
| Unknown | 21 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 09 February 2021.
All research outputs
#2,120,217
of 26,017,215 outputs
Outputs from Lecture notes in computer science
#339
of 8,229 outputs
Outputs of similar age
#23,331
of 324,982 outputs
Outputs of similar age from Lecture notes in computer science
#24
of 286 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,229 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 95% 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 324,982 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 286 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.