↓ Skip to main content

Supporting governance of mobile application developers from mining and analyzing technical questions in stack overflow

Overview of attention for article published in Journal of Software Engineering Research and Development, August 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
32 Mendeley
Title
Supporting governance of mobile application developers from mining and analyzing technical questions in stack overflow
Published in
Journal of Software Engineering Research and Development, August 2018
DOI 10.1186/s40411-018-0052-6
Authors

Awdren Fontão, Bruno Ábia, Igor Wiese, Bernardo Estácio, Marcelo Quinta, Rodrigo Pereira dos Santos, Arilo Claudio Dias-Neto

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 28%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Student > Ph. D. Student 2 6%
Other 1 3%
Other 3 9%
Unknown 12 38%
Readers by discipline Count As %
Computer Science 14 44%
Business, Management and Accounting 2 6%
Decision Sciences 1 3%
Unknown 15 47%
Attention Score in Context

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 24 August 2018.
All research outputs
#13,271,448
of 23,100,534 outputs
Outputs from Journal of Software Engineering Research and Development
#8
of 19 outputs
Outputs of similar age
#162,959
of 334,071 outputs
Outputs of similar age from Journal of Software Engineering Research and Development
#1
of 3 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19 research outputs from this source. They receive a mean Attention Score of 2.4. This one scored the same or higher as 11 of them.
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 334,071 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 50% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them