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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluating maize phenotype dynamics under drought stress using terrestrial lidar
|
|---|---|
| Published in |
Plant Methods, February 2019
|
| DOI | 10.1186/s13007-019-0396-x |
| Pubmed ID | |
| Authors |
Yanjun Su, Fangfang Wu, Zurui Ao, Shichao Jin, Feng Qin, Boxin Liu, Shuxin Pang, Lingli Liu, Qinghua Guo |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 25% |
| United States | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 118 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 19% |
| Researcher | 12 | 10% |
| Student > Master | 12 | 10% |
| Student > Bachelor | 9 | 8% |
| Student > Doctoral Student | 7 | 6% |
| Other | 12 | 10% |
| Unknown | 44 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 29% |
| Engineering | 9 | 8% |
| Computer Science | 8 | 7% |
| Environmental Science | 4 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 8 | 7% |
| Unknown | 53 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 March 2019.
All research outputs
#7,526,189
of 23,128,387 outputs
Outputs from Plant Methods
#496
of 1,095 outputs
Outputs of similar age
#157,802
of 438,009 outputs
Outputs of similar age from Plant Methods
#15
of 30 outputs
Altmetric has tracked 23,128,387 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,095 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 53% 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 438,009 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 63% of its contemporaries.
We're also able to compare this research output to 30 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 50% of its contemporaries.