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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Vision for Development and Utilization of High-Throughput Phenotyping and Big Data Analytics in Livestock
|
|---|---|
| Published in |
Frontiers in Genetics, December 2019
|
| DOI | 10.3389/fgene.2019.01197 |
| Pubmed ID | |
| Authors |
James E. Koltes, John B. Cole, Roxanne Clemmens, Ryan N. Dilger, Luke M. Kramer, Joan K. Lunney, Molly E. McCue, Stephanie D. McKay, Raluca G. Mateescu, Brenda M. Murdoch, Ryan Reuter, Caird E. Rexroad, Guilherme J. M. Rosa, Nick V. L. Serão, Stephen N. White, M. Jennifer Woodward-Greene, Millie Worku, Hongwei Zhang, James M. Reecy |
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 % |
|---|---|---|
| Switzerland | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 204 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 13% |
| Student > Master | 23 | 11% |
| Researcher | 21 | 10% |
| Other | 13 | 6% |
| Student > Bachelor | 13 | 6% |
| Other | 45 | 22% |
| Unknown | 62 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 24% |
| Engineering | 16 | 8% |
| Computer Science | 14 | 7% |
| Veterinary Science and Veterinary Medicine | 11 | 5% |
| Biochemistry, Genetics and Molecular Biology | 9 | 4% |
| Other | 36 | 18% |
| Unknown | 70 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 03 January 2020.
All research outputs
#15,064,058
of 23,182,015 outputs
Outputs from Frontiers in Genetics
#4,573
of 12,211 outputs
Outputs of similar age
#245,748
of 430,755 outputs
Outputs of similar age from Frontiers in Genetics
#132
of 325 outputs
Altmetric has tracked 23,182,015 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,211 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 55% 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 430,755 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 325 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.