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Mendeley readers
Attention Score in Context
Title |
Characterisation of a transcriptome to find sequence differences between two differentially migrating subspecies of the willow warbler Phylloscopus trochilus
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Published in |
BMC Genomics, May 2013
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DOI | 10.1186/1471-2164-14-330 |
Pubmed ID | |
Authors |
Max Lundberg, John Boss, Björn Canbäck, Miriam Liedvogel, Keith W Larson, Mats Grahn, Susanne Åkesson, Staffan Bensch, Anthony Wright |
Abstract |
Animal migration requires adaptations in morphological, physiological and behavioural traits. Several of these traits have been shown to possess a strong heritable component in birds, but little is known about their genetic architecture. Here we used 454 sequencing of brain-derived transcriptomes from two differentially migrating subspecies of the willow warbler Phylloscopus trochilus to detect genes potentially underlying traits associated with migration. |
X Demographics
The data shown below were collected from the profiles of 17 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 Kingdom | 7 | 41% |
Sweden | 1 | 6% |
United States | 1 | 6% |
Unknown | 8 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 7 | 41% |
Scientists | 6 | 35% |
Science communicators (journalists, bloggers, editors) | 3 | 18% |
Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 1 | 1% |
United States | 1 | 1% |
Italy | 1 | 1% |
Australia | 1 | 1% |
Unknown | 80 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 24% |
Researcher | 18 | 21% |
Student > Master | 12 | 14% |
Student > Bachelor | 10 | 12% |
Professor | 6 | 7% |
Other | 10 | 12% |
Unknown | 8 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 57 | 68% |
Biochemistry, Genetics and Molecular Biology | 10 | 12% |
Environmental Science | 2 | 2% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
Nursing and Health Professions | 1 | 1% |
Other | 4 | 5% |
Unknown | 9 | 11% |
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 03 June 2013.
All research outputs
#3,613,297
of 25,371,288 outputs
Outputs from BMC Genomics
#1,258
of 11,244 outputs
Outputs of similar age
#30,117
of 205,979 outputs
Outputs of similar age from BMC Genomics
#28
of 177 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 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 88% 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 205,979 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 85% of its contemporaries.
We're also able to compare this research output to 177 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.