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Mendeley readers
Attention Score in Context
| Title |
Imitating the neighbours: vocal dialect matching in a mimicmodel system
|
|---|---|
| Published in |
Biology Letters, June 2006
|
| DOI | 10.1098/rsbl.2006.0502 |
| Pubmed ID | |
| Authors |
David A Putland, James A Nicholls, Michael J Noad, Anne W Goldizen |
| Abstract |
Vocal mimicry provides a unique system for investigating song learning and cultural evolution in birds. Male lyrebirds produce complex vocal displays that include extensive and accurate mimicry of many other bird species. We recorded and analysed the songs of the Albert's lyrebird (Menura alberti) and its most commonly imitated model species, the satin bowerbird (Ptilonorhynchus violaceus), at six sites in southeast Queensland, Australia. We show that each population of lyrebirds faithfully reproduces the song of the local population of bowerbirds. Within a population, lyrebirds show less variation in song structure than the available variation in the songs of the models. These results provide the first quantitative evidence for dialect matching in the songs of two species that have no direct ecological relationship. |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 8% |
| Poland | 1 | 1% |
| Germany | 1 | 1% |
| Romania | 1 | 1% |
| Unknown | 74 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 24% |
| Student > Ph. D. Student | 18 | 21% |
| Student > Master | 11 | 13% |
| Student > Bachelor | 8 | 10% |
| Other | 7 | 8% |
| Other | 15 | 18% |
| Unknown | 5 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 61% |
| Environmental Science | 10 | 12% |
| Psychology | 4 | 5% |
| Computer Science | 2 | 2% |
| Neuroscience | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 8 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 55. 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 22 May 2022.
All research outputs
#692,491
of 23,577,761 outputs
Outputs from Biology Letters
#731
of 3,275 outputs
Outputs of similar age
#868
of 65,309 outputs
Outputs of similar age from Biology Letters
#4
of 24 outputs
Altmetric has tracked 23,577,761 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 3,275 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.3. This one has done well, scoring higher than 77% 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 65,309 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 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.