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X Demographics
Mendeley readers
| Title |
Examining non-LTR retrotransposons in the context of the evolving primate brain
|
|---|---|
| Published in |
BMC Biology, August 2017
|
| DOI | 10.1186/s12915-017-0409-z |
| Pubmed ID | |
| Authors |
Sara B. Linker, Maria C. Marchetto, Iñigo Narvaiza, Ahmet M. Denli, Fred H. Gage |
| Abstract |
Researchers have long sought to understand the genetic basis of the cognitive differences between primates, with particular focus on the human brain. Although all mutational types have worked in concert with evolutionary forces to generate the current human brain, in this review we will explore the impact of mobile elements, specifically non-LTR retrotransposons. Non-LTR retrotransposons have contributed coding and regulatory sequences to the genome throughout evolution. During primate evolution there have been multiple waves of LINE retrotransposition as well as the birth of new mobile elements such as the SINEs Alu and SVA and we will explore what kinds of impacts these may have had on the evolving human brain. |
X Demographics
The data shown below were collected from the profiles of 23 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 | 6 | 26% |
| United Kingdom | 3 | 13% |
| Russia | 2 | 9% |
| India | 2 | 9% |
| Netherlands | 1 | 4% |
| Hungary | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 7 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 11 | 48% |
| Members of the public | 9 | 39% |
| Science communicators (journalists, bloggers, editors) | 3 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 21% |
| Student > Ph. D. Student | 11 | 19% |
| Student > Master | 8 | 14% |
| Student > Bachelor | 5 | 9% |
| Student > Doctoral Student | 4 | 7% |
| Other | 8 | 14% |
| Unknown | 10 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 21 | 36% |
| Agricultural and Biological Sciences | 18 | 31% |
| Neuroscience | 5 | 9% |
| Medicine and Dentistry | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 12 | 21% |