You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling copy number variation in the genomic prediction of maize hybrids
|
|---|---|
| Published in |
Theoretical and Applied Genetics, October 2018
|
| DOI | 10.1007/s00122-018-3215-2 |
| Pubmed ID | |
| Authors |
Danilo Hottis Lyra, Giovanni Galli, Filipe Couto Alves, Ítalo Stefanine Correia Granato, Miriam Suzane Vidotti, Massaine Bandeira e Sousa, Júlia Silva Morosini, José Crossa, Roberto Fritsche-Neto |
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 States | 5 | 38% |
| China | 1 | 8% |
| Brazil | 1 | 8% |
| Canada | 1 | 8% |
| United Kingdom | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 62% |
| Members of the public | 4 | 31% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 30% |
| Researcher | 8 | 15% |
| Student > Master | 6 | 11% |
| Student > Bachelor | 4 | 8% |
| Student > Doctoral Student | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 10 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 33 | 62% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Computer Science | 2 | 4% |
| Medicine and Dentistry | 1 | 2% |
| Unknown | 14 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 06 July 2021.
All research outputs
#3,623,751
of 25,494,370 outputs
Outputs from Theoretical and Applied Genetics
#387
of 3,827 outputs
Outputs of similar age
#71,816
of 363,691 outputs
Outputs of similar age from Theoretical and Applied Genetics
#19
of 73 outputs
Altmetric has tracked 25,494,370 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,827 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. 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 363,691 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.