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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using machine learning to quantify the impacts of genetically modified crops on US midwest corn yields
|
|---|---|
| Published in |
Applied Geography, September 2019
|
| DOI | 10.1016/j.apgeog.2019.102058 |
| Authors |
Paul M. Johnson, Ralf Bennartz, Janey V. Camp |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| Belgium | 2 | 33% |
| Canada | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 1 | 17% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 18% |
| Student > Doctoral Student | 4 | 10% |
| Researcher | 4 | 10% |
| Student > Ph. D. Student | 4 | 10% |
| Student > Postgraduate | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 12 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 15% |
| Environmental Science | 5 | 13% |
| Engineering | 4 | 10% |
| Computer Science | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 16 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 21 August 2019.
All research outputs
#3,224,316
of 25,385,509 outputs
Outputs from Applied Geography
#173
of 1,199 outputs
Outputs of similar age
#62,838
of 350,007 outputs
Outputs of similar age from Applied Geography
#4
of 15 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,199 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done well, scoring higher than 85% 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 350,007 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 82% of its contemporaries.
We're also able to compare this research output to 15 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 73% of its contemporaries.