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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Getting the most from map data structures in Android
|
|---|---|
| Published in |
Empirical Software Engineering, March 2018
|
| DOI | 10.1007/s10664-018-9607-8 |
| Authors |
Rubén Saborido, Rodrigo Morales, Foutse Khomh, Yann-Gaël Guéhéneuc, Giuliano Antoniol |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 33% |
| Sweden | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 1 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Student > Bachelor | 3 | 13% |
| Student > Doctoral Student | 1 | 4% |
| Professor | 1 | 4% |
| Librarian | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 9 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 39% |
| Engineering | 3 | 13% |
| Unknown | 11 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 21 May 2019.
All research outputs
#6,038,410
of 23,025,074 outputs
Outputs from Empirical Software Engineering
#161
of 708 outputs
Outputs of similar age
#106,207
of 331,404 outputs
Outputs of similar age from Empirical Software Engineering
#10
of 34 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 708 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 76% 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 331,404 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 67% of its contemporaries.
We're also able to compare this research output to 34 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 67% of its contemporaries.