| Title |
Smart literature review: a practical topic modelling approach to exploratory literature review
|
|---|---|
| Published in |
Journal of Big Data, October 2019
|
| DOI | 10.1186/s40537-019-0255-7 |
| Authors |
Claus Boye Asmussen, Charles Møller |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 17% |
| South Africa | 1 | 17% |
| United Kingdom | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Scientists | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 541 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 541 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 71 | 13% |
| Student > Master | 63 | 12% |
| Researcher | 40 | 7% |
| Student > Bachelor | 32 | 6% |
| Student > Doctoral Student | 28 | 5% |
| Other | 86 | 16% |
| Unknown | 221 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 78 | 14% |
| Business, Management and Accounting | 62 | 11% |
| Engineering | 44 | 8% |
| Social Sciences | 25 | 5% |
| Agricultural and Biological Sciences | 16 | 3% |
| Other | 74 | 14% |
| Unknown | 242 | 45% |
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 16 October 2020.
All research outputs
#12,843,334
of 23,170,347 outputs
Outputs from Journal of Big Data
#142
of 346 outputs
Outputs of similar age
#157,384
of 356,500 outputs
Outputs of similar age from Journal of Big Data
#6
of 16 outputs
Altmetric has tracked 23,170,347 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 346 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has gotten more attention than average, scoring higher than 58% 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 356,500 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 55% of its contemporaries.
We're also able to compare this research output to 16 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 62% of its contemporaries.