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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterization of an eutherian gene cluster generated after transposon domestication identifies Bex3 as relevant for advanced neurological functions
|
|---|---|
| Published in |
Genome Biology, October 2020
|
| DOI | 10.1186/s13059-020-02172-3 |
| Pubmed ID | |
| Authors |
Enrique Navas-Pérez, Cristina Vicente-García, Serena Mirra, Demian Burguera, Noèlia Fernàndez-Castillo, José Luis Ferrán, Macarena López-Mayorga, Marta Alaiz-Noya, Irene Suárez-Pereira, Ester Antón-Galindo, Fausto Ulloa, Carlos Herrera-Úbeda, Pol Cuscó, Rafael Falcón-Moya, Antonio Rodríguez-Moreno, Salvatore D’Aniello, Bru Cormand, Gemma Marfany, Eduardo Soriano, Ángel M. Carrión, Jaime J. Carvajal, Jordi Garcia-Fernàndez |
X Demographics
The data shown below were collected from the profiles of 71 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 29 | 41% |
| United States | 6 | 8% |
| United Kingdom | 2 | 3% |
| Mexico | 1 | 1% |
| Norway | 1 | 1% |
| Argentina | 1 | 1% |
| India | 1 | 1% |
| Italy | 1 | 1% |
| Brazil | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 27 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 50 | 70% |
| Scientists | 18 | 25% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
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 % |
|---|---|---|
| Student > Bachelor | 8 | 14% |
| Student > Ph. D. Student | 7 | 12% |
| Researcher | 6 | 10% |
| Student > Doctoral Student | 4 | 7% |
| Other | 4 | 7% |
| Other | 9 | 16% |
| Unknown | 20 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 26% |
| Neuroscience | 8 | 14% |
| Agricultural and Biological Sciences | 4 | 7% |
| Environmental Science | 2 | 3% |
| Nursing and Health Professions | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 20 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 113. 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 22 December 2020.
All research outputs
#372,656
of 25,420,980 outputs
Outputs from Genome Biology
#179
of 4,472 outputs
Outputs of similar age
#10,783
of 440,301 outputs
Outputs of similar age from Genome Biology
#6
of 57 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,472 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 96% 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 440,301 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 57 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 91% of its contemporaries.