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A Scaling Approach to Understand the Dynamics of Fat and Lean Mass in Refueling Migrant Songbirds Measured by Quantitative Magnetic Resonance

Overview of attention for article published in Frontiers in Ecology and Evolution, February 2022
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1 X user

Citations

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14 Mendeley
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Title
A Scaling Approach to Understand the Dynamics of Fat and Lean Mass in Refueling Migrant Songbirds Measured by Quantitative Magnetic Resonance
Published in
Frontiers in Ecology and Evolution, February 2022
DOI 10.3389/fevo.2022.787623
Authors

Christopher G. Guglielmo, Yolanda E. Morbey, Lisa V. Kennedy, Jessica E. Deakin, J. Morgan Brown, Andrew T. Beauchamp

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 14%
Lecturer 1 7%
Student > Bachelor 1 7%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 7 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 29%
Environmental Science 3 21%
Medicine and Dentistry 1 7%
Unknown 6 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 18 February 2022.
All research outputs
#20,574,182
of 23,151,189 outputs
Outputs from Frontiers in Ecology and Evolution
#3,608
of 4,254 outputs
Outputs of similar age
#359,489
of 437,395 outputs
Outputs of similar age from Frontiers in Ecology and Evolution
#266
of 336 outputs
Altmetric has tracked 23,151,189 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,254 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 437,395 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 336 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.