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X Demographics
Mendeley readers
Attention Score in Context
Title |
Extreme phenotypes approach to investigate host genetics and COVID-19 outcomes
|
---|---|
Published in |
Genetics and Molecular Biology, January 2021
|
DOI | 10.1590/1678-4685-gmb-2020-0302 |
Pubmed ID | |
Authors |
Michel Satya Naslavsky, Mateus Vidigal, Larissa do Rêgo Barros Matos, Vivian Romanholi Cória, Pedro Benedito Batista Junior, Álvaro Razuk, Paulo Hilário Nascimento Saldiva, Marisa Dolhnikoff, Laire Schidlowski, Carolina Prando, Edécio Cunha-Neto, Antonio Condino-Neto, Maria Rita Passos-Bueno, Mayana Zatz |
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 % |
---|---|---|
Israel | 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 15% |
Student > Bachelor | 5 | 15% |
Student > Doctoral Student | 2 | 6% |
Student > Ph. D. Student | 2 | 6% |
Student > Postgraduate | 2 | 6% |
Other | 7 | 21% |
Unknown | 10 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 21% |
Biochemistry, Genetics and Molecular Biology | 5 | 15% |
Nursing and Health Professions | 3 | 9% |
Veterinary Science and Veterinary Medicine | 2 | 6% |
Computer Science | 2 | 6% |
Other | 4 | 12% |
Unknown | 10 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 02 March 2021.
All research outputs
#5,343,131
of 25,387,668 outputs
Outputs from Genetics and Molecular Biology
#77
of 772 outputs
Outputs of similar age
#136,708
of 519,506 outputs
Outputs of similar age from Genetics and Molecular Biology
#10
of 48 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 772 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 89% 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 519,506 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
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 has done well, scoring higher than 77% of its contemporaries.