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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Relationship between Vessel Traffic and Noise Levels Received by Killer Whales (Orcinus orca)
|
|---|---|
| Published in |
PLOS ONE, December 2015
|
| DOI | 10.1371/journal.pone.0140119 |
| Pubmed ID | |
| Authors |
Juliana Houghton, Marla M. Holt, Deborah A. Giles, M. Bradley Hanson, Candice K. Emmons, Jeffrey T. Hogan, Trevor A. Branch, Glenn R. VanBlaricom |
| Abstract |
Whale watching has become increasingly popular as an ecotourism activity around the globe and is beneficial for environmental education and local economies. Southern Resident killer whales (Orcinus orca) comprise an endangered population that is frequently observed by a large whale watching fleet in the inland waters of Washington state and British Columbia. One of the factors identified as a risk to recovery for the population is the effect of vessels and associated noise. An examination of the effects of vessels and associated noise on whale behavior utilized novel equipment to address limitations of previous studies. Digital acoustic recording tags (DTAGs) measured the noise levels the tagged whales received while laser positioning systems allowed collection of geo-referenced data for tagged whales and all vessels within 1000 m of the tagged whale. The objective of the current study was to compare vessel data and DTAG recordings to relate vessel traffic to the ambient noise received by tagged whales. Two analyses were conducted, one including all recording intervals, and one that excluded intervals when only the research vessel was present. For all data, significant predictors of noise levels were length (inverse relationship), number of propellers, and vessel speed, but only 15% of the variation in noise was explained by this model. When research-vessel-only intervals were excluded, vessel speed was the only significant predictor of noise levels, and explained 42% of the variation. Simple linear regressions (ignoring covariates) found that average vessel speed and number of propellers were the only significant correlates with noise levels. We conclude that vessel speed is the most important predictor of noise levels received by whales in this study. Thus, measures that reduce vessel speed in the vicinity of killer whales would reduce noise exposure in this population. |
X Demographics
The data shown below were collected from the profiles of 33 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 | 10 | 30% |
| Canada | 6 | 18% |
| France | 1 | 3% |
| Japan | 1 | 3% |
| Belgium | 1 | 3% |
| Ireland | 1 | 3% |
| Australia | 1 | 3% |
| Indonesia | 1 | 3% |
| Unknown | 11 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 82% |
| Science communicators (journalists, bloggers, editors) | 3 | 9% |
| Scientists | 3 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iceland | 1 | <1% |
| Unknown | 188 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 37 | 20% |
| Student > Master | 30 | 16% |
| Researcher | 29 | 15% |
| Student > Ph. D. Student | 20 | 11% |
| Other | 14 | 7% |
| Other | 16 | 8% |
| Unknown | 43 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 71 | 38% |
| Environmental Science | 50 | 26% |
| Biochemistry, Genetics and Molecular Biology | 5 | 3% |
| Earth and Planetary Sciences | 5 | 3% |
| Engineering | 5 | 3% |
| Other | 8 | 4% |
| Unknown | 45 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 154. 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 09 October 2021.
All research outputs
#267,541
of 25,416,581 outputs
Outputs from PLOS ONE
#3,842
of 221,382 outputs
Outputs of similar age
#4,166
of 395,503 outputs
Outputs of similar age from PLOS ONE
#84
of 4,913 outputs
Altmetric has tracked 25,416,581 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 221,382 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 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 395,503 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 4,913 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.