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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Manchester Color Wheel: development of a novel way of identifying color choice and its validation in healthy, anxious and depressed individuals
|
|---|---|
| Published in |
BMC Medical Research Methodology, February 2010
|
| DOI | 10.1186/1471-2288-10-12 |
| Pubmed ID | |
| Authors |
Helen R Carruthers, Julie Morris, Nicholas Tarrier, Peter J Whorwell |
| Abstract |
For the purposes of our research programme we needed a simple, reliable and validated method for allowing choice of a color in response to a series of questions. On reviewing the literature no such instrument was available and this study aimed to rectify this situation. This was achieved by developing a simple method of presenting a series of colors to people validating it in healthy volunteers and in individuals where color choice might be distorted, namely anxiety and depression. |
X Demographics
The data shown below were collected from the profiles of 15 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 | 4 | 27% |
| Italy | 2 | 13% |
| United States | 2 | 13% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 2% |
| United Kingdom | 2 | 2% |
| Uganda | 1 | <1% |
| Germany | 1 | <1% |
| Turkey | 1 | <1% |
| Italy | 1 | <1% |
| Unknown | 120 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 18% |
| Student > Ph. D. Student | 19 | 15% |
| Researcher | 15 | 12% |
| Student > Bachelor | 10 | 8% |
| Student > Postgraduate | 6 | 5% |
| Other | 25 | 20% |
| Unknown | 30 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 29 | 23% |
| Computer Science | 18 | 14% |
| Medicine and Dentistry | 7 | 5% |
| Biochemistry, Genetics and Molecular Biology | 6 | 5% |
| Engineering | 6 | 5% |
| Other | 27 | 21% |
| Unknown | 35 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 112. 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 24 November 2022.
All research outputs
#376,095
of 25,497,142 outputs
Outputs from BMC Medical Research Methodology
#28
of 2,289 outputs
Outputs of similar age
#1,292
of 174,528 outputs
Outputs of similar age from BMC Medical Research Methodology
#2
of 14 outputs
Altmetric has tracked 25,497,142 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 2,289 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. 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 174,528 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 14 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 92% of its contemporaries.