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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quilt Plots: A Simple Tool for the Visualisation of Large Epidemiological Data
|
|---|---|
| Published in |
PLOS ONE, January 2014
|
| DOI | 10.1371/journal.pone.0085047 |
| Pubmed ID | |
| Authors |
Handan Wand, Jenny Iversen, Matthew Law, Lisa Maher |
| Abstract |
Graphical representation of data is one of the most easily comprehended forms of explanation. The current study describes a simple visualization tool which may allow greater understanding of medical and epidemiological data. |
X Demographics
The data shown below were collected from the profiles of 252 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 | 79 | 31% |
| United Kingdom | 33 | 13% |
| Germany | 10 | 4% |
| Canada | 7 | 3% |
| Australia | 6 | 2% |
| France | 6 | 2% |
| Sweden | 5 | 2% |
| Denmark | 5 | 2% |
| New Zealand | 4 | 2% |
| Other | 33 | 13% |
| Unknown | 64 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 140 | 56% |
| Scientists | 103 | 41% |
| Science communicators (journalists, bloggers, editors) | 7 | 3% |
| Practitioners (doctors, other healthcare professionals) | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 8% |
| United States | 1 | 2% |
| Denmark | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 44 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 22% |
| Student > Master | 10 | 20% |
| Student > Ph. D. Student | 8 | 16% |
| Other | 7 | 14% |
| Student > Bachelor | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 25% |
| Agricultural and Biological Sciences | 8 | 16% |
| Computer Science | 6 | 12% |
| Environmental Science | 3 | 6% |
| Mathematics | 2 | 4% |
| Other | 10 | 20% |
| Unknown | 9 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 236. 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 06 April 2021.
All research outputs
#165,191
of 25,923,151 outputs
Outputs from PLOS ONE
#2,469
of 226,247 outputs
Outputs of similar age
#1,429
of 322,423 outputs
Outputs of similar age from PLOS ONE
#72
of 5,454 outputs
Altmetric has tracked 25,923,151 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 226,247 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done particularly well, scoring higher than 98% 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 322,423 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 99% of its contemporaries.
We're also able to compare this research output to 5,454 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 98% of its contemporaries.