| Title |
Productivity paradoxes revisited
|
|---|---|
| Published in |
Empirical Software Engineering, October 2016
|
| DOI | 10.1007/s10664-016-9453-5 |
| Authors |
Carlos Henrique C. Duarte |
X Demographics
The data shown below were collected from the profiles of 12 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 | 2 | 17% |
| United Kingdom | 1 | 8% |
| Japan | 1 | 8% |
| Sweden | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 58% |
| Members of the public | 4 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 3 | 14% |
| Student > Postgraduate | 3 | 14% |
| Student > Master | 3 | 14% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Other | 4 | 18% |
| Unknown | 5 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 32% |
| Computer Science | 6 | 27% |
| Business, Management and Accounting | 4 | 18% |
| Medicine and Dentistry | 1 | 5% |
| Unknown | 4 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 10 May 2017.
All research outputs
#3,985,302
of 22,896,955 outputs
Outputs from Empirical Software Engineering
#91
of 706 outputs
Outputs of similar age
#66,859
of 321,472 outputs
Outputs of similar age from Empirical Software Engineering
#4
of 21 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 706 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 87% 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 321,472 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 79% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.