| Title |
Understanding and addressing exhibitionism in Java empirical research about method accessibility
|
|---|---|
| Published in |
Empirical Software Engineering, February 2015
|
| DOI | 10.1007/s10664-015-9365-9 |
| Authors |
Santiago A. Vidal, Alexandre Bergel, Claudia Marcos, J. Andrés Díaz-Pace |
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 % |
|---|---|---|
| New Zealand | 1 | 33% |
| Russia | 1 | 33% |
| Chile | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 6% |
| Unknown | 16 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 35% |
| Student > Master | 2 | 12% |
| Professor > Associate Professor | 2 | 12% |
| Student > Bachelor | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 53% |
| Social Sciences | 3 | 18% |
| Engineering | 1 | 6% |
| Unknown | 4 | 24% |
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 28 April 2016.
All research outputs
#12,890,894
of 22,860,626 outputs
Outputs from Empirical Software Engineering
#343
of 705 outputs
Outputs of similar age
#166,575
of 357,643 outputs
Outputs of similar age from Empirical Software Engineering
#5
of 18 outputs
Altmetric has tracked 22,860,626 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 705 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 357,643 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 53% of its contemporaries.
We're also able to compare this research output to 18 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 72% of its contemporaries.