Title |
Studying the urgent updates of popular games on the Steam platform
|
---|---|
Published in |
Empirical Software Engineering, December 2016
|
DOI | 10.1007/s10664-016-9480-2 |
Authors |
Dayi Lin, Cor-Paul Bezemer, Ahmed E. Hassan |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 29% |
Canada | 1 | 14% |
Italy | 1 | 14% |
Sweden | 1 | 14% |
United Kingdom | 1 | 14% |
Unknown | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 43% |
Members of the public | 3 | 43% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 1% |
Unknown | 86 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 22 | 25% |
Student > Ph. D. Student | 10 | 11% |
Student > Master | 8 | 9% |
Researcher | 7 | 8% |
Professor | 5 | 6% |
Other | 11 | 13% |
Unknown | 24 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 29 | 33% |
Business, Management and Accounting | 13 | 15% |
Economics, Econometrics and Finance | 5 | 6% |
Engineering | 3 | 3% |
Design | 2 | 2% |
Other | 6 | 7% |
Unknown | 29 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 19 October 2023.
All research outputs
#3,993,850
of 24,671,780 outputs
Outputs from Empirical Software Engineering
#84
of 755 outputs
Outputs of similar age
#73,473
of 430,587 outputs
Outputs of similar age from Empirical Software Engineering
#7
of 30 outputs
Altmetric has tracked 24,671,780 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 755 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 88% 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 430,587 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.