Title |
Transforming Biology Assessment with Machine Learning: Automated Scoring of Written Evolutionary Explanations
|
---|---|
Published in |
Journal of Science Education and Technology, April 2011
|
DOI | 10.1007/s10956-011-9300-9 |
Authors |
Ross H. Nehm, Minsu Ha, Elijah Mayfield |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 6% |
Brazil | 1 | <1% |
Unknown | 121 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 27 | 21% |
Student > Master | 18 | 14% |
Researcher | 16 | 12% |
Lecturer | 8 | 6% |
Student > Bachelor | 6 | 5% |
Other | 20 | 15% |
Unknown | 35 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 31 | 24% |
Computer Science | 16 | 12% |
Agricultural and Biological Sciences | 11 | 8% |
Chemistry | 8 | 6% |
Physics and Astronomy | 5 | 4% |
Other | 21 | 16% |
Unknown | 38 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 June 2023.
All research outputs
#5,749,221
of 23,873,054 outputs
Outputs from Journal of Science Education and Technology
#74
of 615 outputs
Outputs of similar age
#24,591
of 112,146 outputs
Outputs of similar age from Journal of Science Education and Technology
#3
of 9 outputs
Altmetric has tracked 23,873,054 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 615 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 87% 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 112,146 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 72% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.