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X Demographics
Mendeley readers
Attention Score in Context
Title |
Erratum to: ‘Genomic structure and marker-derived gene networks for growth and meat quality traits of Brazilian Nelore beef cattle’
|
---|---|
Published in |
BMC Genomics, July 2016
|
DOI | 10.1186/s12864-016-2856-2 |
Pubmed ID | |
Authors |
Maurício A. Mudadu, Laercio R. Porto-Neto, Fabiana B. Mokry, Polyana C. Tizioto, Priscila S. N. Oliveira, Rymer R. Tullio, Renata T. Nassu, Simone C. M. Niciura, Patrícia Tholon, Maurício M. Alencar, Roberto H. Higa, Antônio N. Rosa, Gélson L. D. Feijó, André L. J. Ferraz, Luiz O. C. Silva, Sérgio R. Medeiros, Dante P. Lanna, Michele L. Nascimento, Amália S. Chaves, Andrea R. D. L. Souza, Irineu U. Packer, Roberto A. A. Torres, Fabiane Siqueira, Gerson B. Mourão, Luiz L. Coutinho, Antonio Reverter, Luciana C. A. Regitano |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 29% |
Professor | 1 | 14% |
Professor > Associate Professor | 1 | 14% |
Other | 1 | 14% |
Unknown | 2 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 2 | 29% |
Biochemistry, Genetics and Molecular Biology | 1 | 14% |
Materials Science | 1 | 14% |
Medicine and Dentistry | 1 | 14% |
Unknown | 2 | 29% |
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 15 July 2016.
All research outputs
#17,811,101
of 22,880,691 outputs
Outputs from BMC Genomics
#7,581
of 10,666 outputs
Outputs of similar age
#256,809
of 354,681 outputs
Outputs of similar age from BMC Genomics
#185
of 255 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,666 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 354,681 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.