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X Demographics
Mendeley readers
Attention Score in Context
| Title |
COVID-19: The question of genetic diversity and therapeutic intervention approaches
|
|---|---|
| Published in |
Genetics and Molecular Biology, January 2021
|
| DOI | 10.1590/1678-4685-gmb-2020-0452 |
| Pubmed ID | |
| Authors |
David Livingstone Alves Figueiredo, João Paulo Bianchi Ximenez, Fábio Rodrigues Ferreira Seiva, Carolina Panis, Rafael dos Santos Bezerra, Adriano Ferrasa, Alessandra Lourenço Cecchini, Alexandra Ivo de Medeiros, Ana Marisa Fusco Almeida, Anelisa Ramão, Angelica Beate Winter Boldt, Carla Fredrichsen Moya, Chung Man Chin, Daniel de Paula, Daniel Rech, Daniela Fiori Gradia, Danielle Malheiros, Danielle Venturini, Eliandro Reis Tavares, Emerson Carraro, Enilze Maria de Souza Fonseca Ribeiro, Evani Marques Pereira, Felipe Francisco Tuon, Franciele Aní Caovilla Follador, Glaura Scantamburlo Alves Fernandes, Hélito Volpato, Ilce Mara de Syllos Cólus, Jaqueline Carvalho de Oliveira, Jean Henrique da Silva Rodrigues, Jean Leandro dos Santos, Jeane Eliete Laguila Visentainer, Juliana Cristina Brandi, Juliana Mara Serpeloni, Juliana Sartori Bonini, Karen Brajão de Oliveira, Karine Fiorentin, Léia Carolina Lucio, Ligia Carla Faccin-Galhardi, Lirane Elize Defante Ferreto, Lucy Megumi Yamauchi Lioni, Marcia Edilaine Lopes Consolaro, Marcelo Ricardo Vicari, Marcos Abdo Arbex, Marcos Pileggi, Maria Angelica Ehara Watanabe, Maria Antônia Ramos Costa, Maria José S. Mendes Giannini, Marla Karine Amarante, Najeh Maissar Khalil, Quirino Alves de Lima, Roberto H. Herai, Roberta Losi Guembarovski, Rogério N. Shinsato, Rubiana Mara Mainardes, Silvana Giuliatti, Sueli Fumie Yamada-Ogatta, Viviane Knuppel de Quadros Gerber, Wander Rogério Pavanelli, Weber Claudio da Silva, Maria Luiza Petzl-Erler, Valeria Valente, Christiane Pienna Soares, Luciane Regina Cavalli, Wilson Araujo Silva |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 21% |
| Student > Master | 3 | 10% |
| Researcher | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 10 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 31% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Engineering | 2 | 7% |
| Environmental Science | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 4 | 14% |
| Unknown | 9 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 14 April 2022.
All research outputs
#22,774,430
of 25,392,582 outputs
Outputs from Genetics and Molecular Biology
#647
of 772 outputs
Outputs of similar age
#449,092
of 519,506 outputs
Outputs of similar age from Genetics and Molecular Biology
#35
of 48 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 772 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 519,506 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.