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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
The draft genome of a socially polymorphic halictid bee, Lasioglossum albipes
|
|---|---|
| Published in |
Genome Biology, January 2013
|
| DOI | 10.1186/gb-2013-14-12-r142 |
| Pubmed ID | |
| Authors |
Sarah D Kocher, Cai Li, Wei Yang, Hao Tan, Soojin V Yi, Xingyu Yang, Hopi E Hoekstra, Guojie Zhang, Naomi E Pierce, Douglas W Yu |
| Abstract |
Taxa that harbor natural phenotypic variation are ideal for ecological genomic approaches aimed at understanding how the interplay between genetic and environmental factors can lead to the evolution of complex traits. Lasioglossum albipes is a polymorphic halictid bee that expresses variation in social behavior among populations, and common-garden experiments have suggested that this variation is likely to have a genetic component. |
Twitter Demographics
The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 38% |
| United States | 1 | 13% |
| Italy | 1 | 13% |
| India | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 137 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 27% |
| Researcher | 37 | 25% |
| Student > Master | 20 | 14% |
| Professor | 8 | 5% |
| Student > Bachelor | 6 | 4% |
| Other | 19 | 13% |
| Unknown | 16 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 82 | 56% |
| Biochemistry, Genetics and Molecular Biology | 27 | 18% |
| Environmental Science | 3 | 2% |
| Medicine and Dentistry | 2 | 1% |
| Computer Science | 2 | 1% |
| Other | 7 | 5% |
| Unknown | 23 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 44. 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 29 September 2017.
All research outputs
#871,002
of 24,003,070 outputs
Outputs from Genome Biology
#646
of 4,279 outputs
Outputs of similar age
#7,091
of 287,917 outputs
Outputs of similar age from Genome Biology
#26
of 175 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one has done well, scoring higher than 84% 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 287,917 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 175 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.