Title |
Domain-specific cross-language relevant question retrieval
|
---|---|
Published in |
Empirical Software Engineering, November 2017
|
DOI | 10.1007/s10664-017-9568-3 |
Authors |
Bowen Xu, Zhenchang Xing, Xin Xia, David Lo, Shanping Li |
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 % |
---|---|---|
United States | 1 | 25% |
Sweden | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 75% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 27% |
Student > Ph. D. Student | 9 | 24% |
Lecturer | 2 | 5% |
Professor > Associate Professor | 2 | 5% |
Researcher | 2 | 5% |
Other | 4 | 11% |
Unknown | 8 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 22 | 59% |
Engineering | 2 | 5% |
Economics, Econometrics and Finance | 1 | 3% |
Linguistics | 1 | 3% |
Unknown | 11 | 30% |
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 11 March 2019.
All research outputs
#12,997,573
of 23,007,887 outputs
Outputs from Empirical Software Engineering
#339
of 707 outputs
Outputs of similar age
#154,781
of 330,012 outputs
Outputs of similar age from Empirical Software Engineering
#22
of 31 outputs
Altmetric has tracked 23,007,887 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 707 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 330,012 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 52% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.