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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Next‐generation conservation genetics and biodiversity monitoring
|
|---|---|
| Published in |
Evolutionary Applications, July 2018
|
| DOI | 10.1111/eva.12661 |
| Pubmed ID | |
| Authors |
Margaret E. Hunter, Sean M. Hoban, Michael W. Bruford, Gernot Segelbacher, Louis Bernatchez |
| Abstract |
This special issue of Evolutionary Applications consists of 10 publications investigating the use of next-generation tools and techniques in population genetic analyses and biodiversity assessment. The special issue stems from a 2016 Next Generation Genetic Monitoring Workshop, hosted by the National Institute for Mathematical and Biological Synthesis (NIMBioS) in Tennessee, USA. The improved accessibility of next-generation sequencing platforms has allowed molecular ecologists to rapidly produce large amounts of data. However, with the increased availability of new genomic markers and mathematical techniques, care is needed in selecting appropriate study designs, interpreting results in light of conservation concerns, and determining appropriate management actions. This special issue identifies key attributes of successful genetic data analyses in biodiversity evaluation and suggests ways to improve analyses and their application in current population and conservation genetics research. |
X Demographics
The data shown below were collected from the profiles of 24 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 | 5 | 21% |
| United Kingdom | 4 | 17% |
| Colombia | 1 | 4% |
| Australia | 1 | 4% |
| Italy | 1 | 4% |
| Curaçao | 1 | 4% |
| South Africa | 1 | 4% |
| Canada | 1 | 4% |
| Mexico | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 8 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 58% |
| Members of the public | 10 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 242 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 242 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 43 | 18% |
| Researcher | 41 | 17% |
| Student > Ph. D. Student | 35 | 14% |
| Student > Bachelor | 26 | 11% |
| Student > Doctoral Student | 15 | 6% |
| Other | 34 | 14% |
| Unknown | 48 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 97 | 40% |
| Biochemistry, Genetics and Molecular Biology | 43 | 18% |
| Environmental Science | 30 | 12% |
| Earth and Planetary Sciences | 3 | 1% |
| Veterinary Science and Veterinary Medicine | 1 | <1% |
| Other | 7 | 3% |
| Unknown | 61 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 November 2021.
All research outputs
#2,040,214
of 25,382,440 outputs
Outputs from Evolutionary Applications
#262
of 1,579 outputs
Outputs of similar age
#39,263
of 323,052 outputs
Outputs of similar age from Evolutionary Applications
#5
of 30 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,579 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 done well, scoring higher than 83% 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 323,052 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 30 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.