| Title |
The last line effect explained
|
|---|---|
| Published in |
Empirical Software Engineering, December 2016
|
| DOI | 10.1007/s10664-016-9489-6 |
| Authors |
Moritz Beller, Andy Zaidman, Andrey Karpov, Rolf A. Zwaan |
X Demographics
The data shown below were collected from the profiles of 36 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 7 | 19% |
| United States | 3 | 8% |
| Russia | 3 | 8% |
| Sweden | 2 | 6% |
| United Kingdom | 2 | 6% |
| Lithuania | 1 | 3% |
| Brazil | 1 | 3% |
| Unknown | 17 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 61% |
| Scientists | 13 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
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 % |
|---|---|---|
| Netherlands | 1 | 4% |
| Unknown | 25 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 15% |
| Student > Ph. D. Student | 4 | 15% |
| Student > Bachelor | 3 | 12% |
| Lecturer | 2 | 8% |
| Student > Doctoral Student | 2 | 8% |
| Other | 4 | 15% |
| Unknown | 7 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 62% |
| Linguistics | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Unknown | 8 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 25 June 2021.
All research outputs
#1,399,953
of 25,732,188 outputs
Outputs from Empirical Software Engineering
#20
of 793 outputs
Outputs of similar age
#28,216
of 424,578 outputs
Outputs of similar age from Empirical Software Engineering
#3
of 29 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 424,578 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.