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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Open innovation using open source tools: a case study at Sony Mobile
|
|---|---|
| Published in |
Empirical Software Engineering, April 2017
|
| DOI | 10.1007/s10664-017-9511-7 |
| Authors |
Hussan Munir, Johan Linåker, Krzysztof Wnuk, Per Runeson, Björn Regnell |
X Demographics
The data shown below were collected from the profiles of 32 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 6 | 19% |
| United States | 6 | 19% |
| Belgium | 2 | 6% |
| India | 2 | 6% |
| United Kingdom | 2 | 6% |
| Germany | 1 | 3% |
| Brazil | 1 | 3% |
| Netherlands | 1 | 3% |
| Spain | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 7 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 50% |
| Scientists | 14 | 44% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 122 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 18% |
| Student > Ph. D. Student | 12 | 10% |
| Student > Postgraduate | 9 | 7% |
| Student > Bachelor | 7 | 6% |
| Student > Doctoral Student | 6 | 5% |
| Other | 21 | 17% |
| Unknown | 45 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 21 | 17% |
| Computer Science | 21 | 17% |
| Engineering | 16 | 13% |
| Economics, Econometrics and Finance | 5 | 4% |
| Social Sciences | 4 | 3% |
| Other | 7 | 6% |
| Unknown | 48 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 16 April 2019.
All research outputs
#1,686,246
of 25,732,188 outputs
Outputs from Empirical Software Engineering
#24
of 793 outputs
Outputs of similar age
#31,412
of 323,771 outputs
Outputs of similar age from Empirical Software Engineering
#1
of 22 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 96% 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 323,771 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 90% of its contemporaries.
We're also able to compare this research output to 22 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 95% of its contemporaries.