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X Demographics
Mendeley readers
Attention Score in Context
| Title |
On the Usefulness of Automatically Generated Microservice Architectures
|
|---|---|
| Published in |
IEEE Transactions on Software Engineering, February 2024
|
| DOI | 10.1109/tse.2024.3361209 |
| Authors |
Luiz Carvalho, Thelma Elita Colanzi, Wesley K. G. Assunção, Alessandro Garcia, Juliana Alves Pereira, Marcos Kalinowski, Rafael Maiani de Mello, Maria Julia de Lima, Carlos Lucena |
X Demographics
The data shown below were collected from the profiles of 4 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 | 50% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 100% |
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 22 April 2024.
All research outputs
#14,905,600
of 25,564,614 outputs
Outputs from IEEE Transactions on Software Engineering
#4,704
of 6,388 outputs
Outputs of similar age
#123,190
of 331,989 outputs
Outputs of similar age from IEEE Transactions on Software Engineering
#14
of 80 outputs
Altmetric has tracked 25,564,614 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,388 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 26th percentile – i.e., 26% 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 331,989 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 61% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.