↓ Skip to main content

The conservation genetics juggling act: integrating genetics and ecology, science and policy

Overview of attention for article published in Evolutionary Applications, December 2015
Altmetric Badge

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 (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
8 X users

Citations

dimensions_citation
69 Dimensions

Readers on

mendeley
205 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The conservation genetics juggling act: integrating genetics and ecology, science and policy
Published in
Evolutionary Applications, December 2015
DOI 10.1111/eva.12337
Pubmed ID
Authors

Susan M. Haig, Mark. P. Miller, Renee Bellinger, Hope M. Draheim, Dacey M. Mercer, Thomas D. Mullins

Abstract

The field of conservation genetics, when properly implemented, is a constant juggling act integrating molecular genetics, ecology, and demography with applied aspects concerning managing declining species or implementing conservation laws and policies. This young field has grown substantially since the 1980s following the development of polymerase chain reaction and now into the genomics era. Our laboratory has 'grown up' with the field, having worked on these issues for over three decades. Our multidisciplinary approach entails understanding the behavior and ecology of species as well as the underlying processes that contribute to genetic viability. Taking this holistic approach provides a comprehensive understanding of factors that influence species persistence and evolutionary potential while considering annual challenges that occur throughout their life cycle. As a federal laboratory, we are often addressing the needs of the U.S. Fish and Wildlife Service in their efforts to list, de-list, or recover species. Nevertheless, there remains an overall communication gap between research geneticists and biologists who are charged with implementing their results. Therefore, we outline the need for a National Center for Small Population Biology to ameliorate this problem and provide organizations charged with making status decisions firmer ground from which to make their critical decisions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Netherlands 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 199 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 20%
Researcher 33 16%
Student > Master 31 15%
Student > Bachelor 20 10%
Student > Doctoral Student 14 7%
Other 36 18%
Unknown 29 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 114 56%
Biochemistry, Genetics and Molecular Biology 28 14%
Environmental Science 18 9%
Medicine and Dentistry 2 <1%
Nursing and Health Professions 2 <1%
Other 4 2%
Unknown 37 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 13 July 2017.
All research outputs
#3,121,090
of 25,371,288 outputs
Outputs from Evolutionary Applications
#440
of 1,578 outputs
Outputs of similar age
#49,156
of 395,411 outputs
Outputs of similar age from Evolutionary Applications
#10
of 20 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,578 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has gotten more attention than average, scoring higher than 72% 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 395,411 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 87% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.