| Title |
Using semantic clustering to support situation awareness on Twitter: the case of world views
|
|---|---|
| Published in |
Human-centric Computing and Information Sciences, July 2018
|
| DOI | 10.1186/s13673-018-0145-6 |
| Authors |
Charlie Kingston, Jason R. C. Nurse, Ioannis Agrafiotis, Andrew Burke Milich |
X Demographics
The data shown below were collected from the profiles of 18 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 | 7 | 39% |
| United States | 2 | 11% |
| Nigeria | 2 | 11% |
| India | 1 | 6% |
| Indonesia | 1 | 6% |
| Unknown | 5 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 72% |
| Scientists | 3 | 17% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 18% |
| Student > Master | 8 | 16% |
| Researcher | 4 | 8% |
| Student > Doctoral Student | 4 | 8% |
| Professor > Associate Professor | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 15 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 26% |
| Social Sciences | 10 | 20% |
| Business, Management and Accounting | 4 | 8% |
| Engineering | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 15 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 08 September 2022.
All research outputs
#2,102,947
of 24,293,076 outputs
Outputs from Human-centric Computing and Information Sciences
#7
of 78 outputs
Outputs of similar age
#43,173
of 333,659 outputs
Outputs of similar age from Human-centric Computing and Information Sciences
#1
of 4 outputs
Altmetric has tracked 24,293,076 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 78 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done particularly well, scoring higher than 92% 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 333,659 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them