| Title |
A clustering-based topic model using word networks and word embeddings
|
|---|---|
| Published in |
Journal of Big Data, April 2022
|
| DOI | 10.1186/s40537-022-00585-4 |
| Authors |
Wenchuan Mu, Kwan Hui Lim, Junhua Liu, Shanika Karunasekera, Lucia Falzon, Aaron Harwood |
X Demographics
The data shown below were collected from the profiles of 15 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 Kingdom | 2 | 13% |
| India | 1 | 7% |
| Brazil | 1 | 7% |
| Saudi Arabia | 1 | 7% |
| Ireland | 1 | 7% |
| United States | 1 | 7% |
| Italy | 1 | 7% |
| Germany | 1 | 7% |
| Unknown | 6 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 80% |
| Scientists | 2 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 21 | 38% |
| Student > Ph. D. Student | 4 | 7% |
| Student > Master | 3 | 5% |
| Other | 2 | 4% |
| Student > Bachelor | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 19 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 59% |
| Economics, Econometrics and Finance | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Unknown | 19 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 18 November 2022.
All research outputs
#4,729,050
of 25,223,158 outputs
Outputs from Journal of Big Data
#83
of 379 outputs
Outputs of similar age
#100,176
of 437,192 outputs
Outputs of similar age from Journal of Big Data
#2
of 11 outputs
Altmetric has tracked 25,223,158 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 379 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 78% 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 437,192 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 11 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 90% of its contemporaries.