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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Flower Colours through the Lens: Quantitative Measurement with Visible and Ultraviolet Digital Photography
|
|---|---|
| Published in |
PLOS ONE, May 2014
|
| DOI | 10.1371/journal.pone.0096646 |
| Pubmed ID | |
| Authors |
Jair E. Garcia, Andrew D. Greentree, Mani Shrestha, Alan Dorin, Adrian G. Dyer |
| Abstract |
The study of the signal-receiver relationship between flowering plants and pollinators requires a capacity to accurately map both the spectral and spatial components of a signal in relation to the perceptual abilities of potential pollinators. Spectrophotometers can typically recover high resolution spectral data, but the spatial component is difficult to record simultaneously. A technique allowing for an accurate measurement of the spatial component in addition to the spectral factor of the signal is highly desirable. |
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 % |
|---|---|---|
| Australia | 4 | 40% |
| United States | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 1% |
| United Kingdom | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 97 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 23% |
| Student > Master | 18 | 18% |
| Researcher | 17 | 17% |
| Student > Bachelor | 14 | 14% |
| Student > Doctoral Student | 8 | 8% |
| Other | 10 | 10% |
| Unknown | 10 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 54 | 54% |
| Environmental Science | 12 | 12% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Medicine and Dentistry | 3 | 3% |
| Earth and Planetary Sciences | 2 | 2% |
| Other | 9 | 9% |
| Unknown | 16 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 80. 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 11 February 2023.
All research outputs
#532,786
of 25,353,525 outputs
Outputs from PLOS ONE
#7,356
of 219,969 outputs
Outputs of similar age
#4,648
of 234,106 outputs
Outputs of similar age from PLOS ONE
#172
of 4,674 outputs
Altmetric has tracked 25,353,525 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 219,969 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done particularly well, scoring higher than 96% 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 234,106 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 98% of its contemporaries.
We're also able to compare this research output to 4,674 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 96% of its contemporaries.