| Title |
How diverse is your team? Investigating gender and nationality diversity in GitHub teams
|
|---|---|
| Published in |
Journal of Software Engineering Research and Development, December 2017
|
| DOI | 10.1186/s40411-017-0044-y |
| Authors |
Marco Ortu, Giuseppe Destefanis, Steve Counsell, Stephen Swift, Roberto Tonelli, Michele Marchesi |
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 Kingdom | 2 | 29% |
| Italy | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 22% |
| Student > Master | 12 | 16% |
| Student > Doctoral Student | 6 | 8% |
| Lecturer | 4 | 5% |
| Professor | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 22 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 27% |
| Business, Management and Accounting | 10 | 14% |
| Social Sciences | 3 | 4% |
| Economics, Econometrics and Finance | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 28 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 February 2018.
All research outputs
#5,583,900
of 23,012,811 outputs
Outputs from Journal of Software Engineering Research and Development
#2
of 19 outputs
Outputs of similar age
#109,378
of 440,645 outputs
Outputs of similar age from Journal of Software Engineering Research and Development
#1
of 2 outputs
Altmetric has tracked 23,012,811 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 17 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 440,645 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 75% of its contemporaries.
We're also able to compare this research output to 2 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