| Title |
Addressing problems with replicability and validity of repository mining studies through a smart data platform
|
|---|---|
| Published in |
Empirical Software Engineering, August 2017
|
| DOI | 10.1007/s10664-017-9537-x |
| Authors |
Fabian Trautsch, Steffen Herbold, Philip Makedonski, Jens Grabowski |
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 % |
|---|---|---|
| Germany | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 15% |
| Student > Master | 8 | 15% |
| Other | 4 | 7% |
| Researcher | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 19 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 44% |
| Engineering | 5 | 9% |
| Arts and Humanities | 2 | 4% |
| Chemistry | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 22 | 40% |
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 08 March 2019.
All research outputs
#12,991,296
of 22,996,001 outputs
Outputs from Empirical Software Engineering
#345
of 707 outputs
Outputs of similar age
#149,084
of 317,853 outputs
Outputs of similar age from Empirical Software Engineering
#10
of 17 outputs
Altmetric has tracked 22,996,001 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 707 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 317,853 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 52% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.