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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Visualizing Uncertainty for Non-Expert End Users: The Challenge of the Deterministic Construal Error
|
|---|---|
| Published in |
Frontiers in Computer Science, January 2021
|
| DOI | 10.3389/fcomp.2020.590232 |
| Authors |
Susan Joslyn, Sonia Savelli |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 33% |
| Brazil | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 2 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 16% |
| Student > Bachelor | 4 | 13% |
| Researcher | 3 | 10% |
| Student > Doctoral Student | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 12 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 4 | 13% |
| Engineering | 4 | 13% |
| Computer Science | 2 | 6% |
| Environmental Science | 2 | 6% |
| Social Sciences | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 13 | 42% |
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 20 December 2022.
All research outputs
#5,053,025
of 26,557,909 outputs
Outputs from Frontiers in Computer Science
#71
of 590 outputs
Outputs of similar age
#128,959
of 540,011 outputs
Outputs of similar age from Frontiers in Computer Science
#3
of 13 outputs
Altmetric has tracked 26,557,909 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 590 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 87% 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 540,011 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 76% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.