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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Factors and actors leading to the adoption of a JavaScript framework
|
|---|---|
| Published in |
Empirical Software Engineering, March 2018
|
| DOI | 10.1007/s10664-018-9613-x |
| Authors |
Amantia Pano, Daniel Graziotin, Pekka Abrahamsson |
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% |
| Germany | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 21 | 20% |
| Student > Master | 15 | 14% |
| Unspecified | 7 | 7% |
| Professor | 4 | 4% |
| Student > Ph. D. Student | 4 | 4% |
| Other | 10 | 9% |
| Unknown | 46 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 38 | 36% |
| Unspecified | 7 | 7% |
| Engineering | 5 | 5% |
| Business, Management and Accounting | 3 | 3% |
| Medicine and Dentistry | 2 | 2% |
| Other | 5 | 5% |
| Unknown | 47 | 44% |
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 02 July 2019.
All research outputs
#14,732,124
of 25,837,817 outputs
Outputs from Empirical Software Engineering
#361
of 803 outputs
Outputs of similar age
#169,729
of 349,669 outputs
Outputs of similar age from Empirical Software Engineering
#13
of 32 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 803 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 53% 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 349,669 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 51% of its contemporaries.
We're also able to compare this research output to 32 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 59% of its contemporaries.