You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Socio-spatial Self-organizing Maps
|
|---|---|
| Published in |
Proceedings of the ACM on Human-Computer Interaction, November 2018
|
| DOI | 10.1145/3274414 |
| Pubmed ID | |
| Authors |
Kunal Relia, Mohammad Akbari, Dustin Duncan, Rumi Chunara |
X Demographics
The data shown below were collected from the profiles of 10 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 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 8 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 50% |
| Members of the public | 4 | 40% |
| Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 22% |
| Student > Master | 10 | 17% |
| Student > Doctoral Student | 8 | 14% |
| Other | 3 | 5% |
| Student > Postgraduate | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 12 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 29% |
| Social Sciences | 10 | 17% |
| Medicine and Dentistry | 4 | 7% |
| Design | 3 | 5% |
| Psychology | 2 | 3% |
| Other | 9 | 16% |
| Unknown | 13 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 90. 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 23 March 2023.
All research outputs
#447,741
of 24,469,913 outputs
Outputs from Proceedings of the ACM on Human-Computer Interaction
#43
of 1,030 outputs
Outputs of similar age
#10,101
of 355,693 outputs
Outputs of similar age from Proceedings of the ACM on Human-Computer Interaction
#6
of 86 outputs
Altmetric has tracked 24,469,913 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,030 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.7. This one has done particularly well, scoring higher than 95% 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 355,693 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 86 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 94% of its contemporaries.