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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Phylogenetic patterns of emergence of new genes support a model of frequent de novoevolution
|
|---|---|
| Published in |
BMC Genomics, February 2013
|
| DOI | 10.1186/1471-2164-14-117 |
| Pubmed ID | |
| Authors |
Rafik Neme, Diethard Tautz |
| Abstract |
New gene emergence is so far assumed to be mostly driven by duplication and divergence of existing genes. The possibility that entirely new genes could emerge out of the non-coding genomic background was long thought to be almost negligible. With the increasing availability of fully sequenced genomes across broad scales of phylogeny, it has become possible to systematically study the origin of new genes over time and thus revisit this question. |
X Demographics
The data shown below were collected from the profiles of 13 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 | 4 | 31% |
| United States | 2 | 15% |
| Australia | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 69% |
| Practitioners (doctors, other healthcare professionals) | 2 | 15% |
| Members of the public | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 252 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Brazil | 2 | <1% |
| Spain | 2 | <1% |
| United Kingdom | 2 | <1% |
| Italy | 1 | <1% |
| Australia | 1 | <1% |
| Ireland | 1 | <1% |
| Germany | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 235 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 67 | 27% |
| Researcher | 47 | 19% |
| Student > Master | 32 | 13% |
| Student > Bachelor | 27 | 11% |
| Professor > Associate Professor | 12 | 5% |
| Other | 40 | 16% |
| Unknown | 27 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 133 | 53% |
| Biochemistry, Genetics and Molecular Biology | 64 | 25% |
| Computer Science | 6 | 2% |
| Medicine and Dentistry | 4 | 2% |
| Chemistry | 3 | 1% |
| Other | 12 | 5% |
| Unknown | 30 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 10 March 2024.
All research outputs
#1,087,989
of 25,373,627 outputs
Outputs from BMC Genomics
#147
of 11,244 outputs
Outputs of similar age
#7,710
of 204,951 outputs
Outputs of similar age from BMC Genomics
#2
of 178 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% 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 particularly well, scoring higher than 98% 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 204,951 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 96% of its contemporaries.
We're also able to compare this research output to 178 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.