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Amino Acid Specific Stable Nitrogen Isotope Values in Avian Tissues: Insights from Captive American Kestrels and Wild Herring Gulls

Overview of attention for article published in Environmental Science & Technology, November 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog
twitter
4 tweeters

Citations

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25 Dimensions

Readers on

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53 Mendeley
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Title
Amino Acid Specific Stable Nitrogen Isotope Values in Avian Tissues: Insights from Captive American Kestrels and Wild Herring Gulls
Published in
Environmental Science & Technology, November 2016
DOI 10.1021/acs.est.6b04407
Pubmed ID
Authors

C. E. Hebert, B. N. Popp, K. J. Fernie, C. Ka’apu-Lyons, B. A. Rattner, N. Wallsgrove

Abstract

Through laboratory and field studies, the utility of amino acid compound-specific nitrogen isotope analysis (AA-CSIA) in avian studies is investigated. Captive American kestrels (Falco sparverius) fed an isotopically-characterized diet were sacrificed and patterns in δ(15)N values of amino acids (AAs) were compared in their tissues (muscle, red blood cells) and food. Based upon nitrogen isotope discrimination between diet and kestrel tissues, AAs could mostly be categorized as source AAs (retaining baseline δ(15)N values) and trophic AAs (showing (15)N enrichment). Trophic discrimination factors based upon source (phenylalanine, Phe) and trophic (glutamic acid, Glu) AAs were 4.1 (muscle) and 5.4 (red blood cells); lower than reported for metazoan invertebrates. In a field study involving omnivorous herring gulls (Larus argentatus smithsonianus),egg AA isotopic patterns largely retained those observed in the laying female's tissues (muscle, red blood cells, liver). Realistic estimates of gull trophic position were obtained using bird Glu and Phe δ(15)N values combined with β-values (difference in Glu and Phe δ(15)N in primary producers) for aquatic and terrestrial food webs. Egg fatty acids were used to weight β-values for proportions of aquatic and terrestrial food in gull diets. This novel approach can be applied to generalist species that feed across ecosystem boundaries.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Brazil 1 2%
Unknown 51 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Researcher 12 23%
Student > Master 5 9%
Student > Bachelor 5 9%
Professor 3 6%
Other 6 11%
Unknown 9 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 30%
Environmental Science 14 26%
Earth and Planetary Sciences 8 15%
Chemistry 2 4%
Medicine and Dentistry 2 4%
Other 3 6%
Unknown 8 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 December 2020.
All research outputs
#2,538,092
of 19,479,988 outputs
Outputs from Environmental Science & Technology
#3,192
of 18,101 outputs
Outputs of similar age
#54,484
of 308,735 outputs
Outputs of similar age from Environmental Science & Technology
#60
of 236 outputs
Altmetric has tracked 19,479,988 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 18,101 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has done well, scoring higher than 82% 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 308,735 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 236 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.