| Title |
Automatic query reformulation for code search using crowdsourced knowledge
|
|---|---|
| Published in |
Empirical Software Engineering, January 2019
|
| DOI | 10.1007/s10664-018-9671-0 |
| Authors |
Mohammad M. Rahman, Chanchal K. Roy, David Lo |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Singapore | 1 | 33% |
| Canada | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 20% |
| Student > Master | 6 | 15% |
| Student > Doctoral Student | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Professor > Associate Professor | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 15 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 50% |
| Engineering | 2 | 5% |
| Social Sciences | 1 | 3% |
| Design | 1 | 3% |
| Unknown | 16 | 40% |
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 20 October 2020.
All research outputs
#13,058,036
of 23,124,001 outputs
Outputs from Empirical Software Engineering
#341
of 710 outputs
Outputs of similar age
#201,724
of 438,136 outputs
Outputs of similar age from Empirical Software Engineering
#11
of 24 outputs
Altmetric has tracked 23,124,001 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 710 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 50% 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 438,136 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 53% of its contemporaries.
We're also able to compare this research output to 24 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 54% of its contemporaries.