| Title |
Understanding big data themes from scientific biomedical literature through topic modeling
|
|---|---|
| Published in |
Journal of Big Data, November 2016
|
| DOI | 10.1186/s40537-016-0057-0 |
| Authors |
Allard J. van Altena, Perry D. Moerland, Aeilko H. Zwinderman, Sílvia D. Olabarriaga |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 5 | 25% |
| United Kingdom | 3 | 15% |
| United States | 1 | 5% |
| India | 1 | 5% |
| France | 1 | 5% |
| Unknown | 9 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 19% |
| Lecturer | 11 | 12% |
| Researcher | 8 | 9% |
| Student > Master | 8 | 9% |
| Student > Bachelor | 7 | 8% |
| Other | 16 | 18% |
| Unknown | 22 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 31 | 35% |
| Business, Management and Accounting | 8 | 9% |
| Engineering | 6 | 7% |
| Agricultural and Biological Sciences | 3 | 3% |
| Medicine and Dentistry | 2 | 2% |
| Other | 11 | 12% |
| Unknown | 28 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 10 November 2019.
All research outputs
#2,412,952
of 24,995,564 outputs
Outputs from Journal of Big Data
#52
of 378 outputs
Outputs of similar age
#39,624
of 313,320 outputs
Outputs of similar age from Journal of Big Data
#4
of 8 outputs
Altmetric has tracked 24,995,564 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 378 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 86% 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 313,320 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 87% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.