| Title |
An in-depth study of the promises and perils of mining GitHub
|
|---|---|
| Published in |
Empirical Software Engineering, September 2015
|
| DOI | 10.1007/s10664-015-9393-5 |
| Authors |
Eirini Kalliamvakou, Georgios Gousios, Kelly Blincoe, Leif Singer, Daniel M. German, Daniela Damian |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 33% |
| Netherlands | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 234 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | <1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| France | 1 | <1% |
| Sri Lanka | 1 | <1% |
| Japan | 1 | <1% |
| Unknown | 227 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 56 | 24% |
| Student > Master | 36 | 15% |
| Student > Doctoral Student | 17 | 7% |
| Student > Postgraduate | 13 | 6% |
| Lecturer | 10 | 4% |
| Other | 44 | 19% |
| Unknown | 58 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 122 | 52% |
| Business, Management and Accounting | 16 | 7% |
| Engineering | 13 | 6% |
| Unspecified | 3 | 1% |
| Social Sciences | 3 | 1% |
| Other | 7 | 3% |
| Unknown | 70 | 30% |
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 07 April 2022.
All research outputs
#14,673,086
of 25,822,778 outputs
Outputs from Empirical Software Engineering
#365
of 795 outputs
Outputs of similar age
#126,620
of 278,954 outputs
Outputs of similar age from Empirical Software Engineering
#4
of 11 outputs
Altmetric has tracked 25,822,778 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 795 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 52% 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 278,954 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 54% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.