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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Refactoring Legacy JavaScript Code to Use Classes: The Good, The Bad and The Ugly
|
|---|---|
| Chapter number | 11 |
| Book title |
Mastering Scale and Complexity in Software Reuse
|
| Published in |
arXiv, May 2017
|
| DOI | 10.1007/978-3-319-56856-0_11 |
| Book ISBNs |
978-3-31-956855-3, 978-3-31-956856-0
|
| Authors |
Leonardo Humberto Silva, Marco Tulio Valente, Alexandre Bergel |
X Demographics
The data shown below were collected from the profiles of 87 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 17% |
| India | 8 | 9% |
| Brazil | 3 | 3% |
| China | 2 | 2% |
| Canada | 2 | 2% |
| United Kingdom | 2 | 2% |
| Denmark | 2 | 2% |
| Australia | 2 | 2% |
| Germany | 1 | 1% |
| Other | 17 | 20% |
| Unknown | 33 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 82 | 94% |
| Scientists | 3 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 28% |
| Student > Master | 3 | 12% |
| Professor > Associate Professor | 3 | 12% |
| Other | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 40% |
| Business, Management and Accounting | 2 | 8% |
| Engineering | 2 | 8% |
| Agricultural and Biological Sciences | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 62. 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 30 July 2017.
All research outputs
#696,664
of 25,551,063 outputs
Outputs from arXiv
#8,746
of 928,039 outputs
Outputs of similar age
#14,266
of 328,183 outputs
Outputs of similar age from arXiv
#210
of 15,459 outputs
Altmetric has tracked 25,551,063 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 928,039 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 99% 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 328,183 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 95% of its contemporaries.
We're also able to compare this research output to 15,459 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.