| Title |
An empirical study of unspecified dependencies in make-based build systems
|
|---|---|
| Published in |
Empirical Software Engineering, April 2017
|
| DOI | 10.1007/s10664-017-9510-8 |
| Authors |
Cor-Paul Bezemer, Shane McIntosh, Bram Adams, Daniel M. German, Ahmed E. Hassan |
X Demographics
The data shown below were collected from the profiles of 8 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 | 1 | 13% |
| Sweden | 1 | 13% |
| Brazil | 1 | 13% |
| Canada | 1 | 13% |
| Italy | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 27% |
| Student > Ph. D. Student | 4 | 15% |
| Researcher | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 6 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 50% |
| Environmental Science | 1 | 4% |
| Mathematics | 1 | 4% |
| Linguistics | 1 | 4% |
| Earth and Planetary Sciences | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 7 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 17 January 2018.
All research outputs
#4,707,587
of 23,001,641 outputs
Outputs from Empirical Software Engineering
#116
of 707 outputs
Outputs of similar age
#83,887
of 309,610 outputs
Outputs of similar age from Empirical Software Engineering
#7
of 20 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 707 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 83% 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 309,610 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 72% of its contemporaries.
We're also able to compare this research output to 20 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 65% of its contemporaries.