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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High-throughput analysis of leaf physiological and chemical traits with VIS–NIR–SWIR spectroscopy: a case study with a maize diversity panel
|
|---|---|
| Published in |
Plant Methods, June 2019
|
| DOI | 10.1186/s13007-019-0450-8 |
| Pubmed ID | |
| Authors |
Yufeng Ge, Abbas Atefi, Huichun Zhang, Chenyong Miao, Raghuprakash Kastoori Ramamurthy, Brandi Sigmon, Jinliang Yang, James C. Schnable |
X Demographics
The data shown below were collected from the profiles of 31 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 | 14 | 45% |
| Spain | 2 | 6% |
| United Kingdom | 2 | 6% |
| France | 2 | 6% |
| Switzerland | 1 | 3% |
| Cameroon | 1 | 3% |
| Peru | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 7 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 61% |
| Scientists | 10 | 32% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 169 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 20% |
| Researcher | 27 | 16% |
| Student > Master | 25 | 15% |
| Student > Bachelor | 8 | 5% |
| Professor | 7 | 4% |
| Other | 21 | 12% |
| Unknown | 47 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 37% |
| Engineering | 21 | 12% |
| Environmental Science | 7 | 4% |
| Biochemistry, Genetics and Molecular Biology | 6 | 4% |
| Earth and Planetary Sciences | 6 | 4% |
| Other | 15 | 9% |
| Unknown | 52 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 02 November 2020.
All research outputs
#1,543,058
of 23,556,846 outputs
Outputs from Plant Methods
#63
of 1,120 outputs
Outputs of similar age
#34,827
of 352,365 outputs
Outputs of similar age from Plant Methods
#2
of 43 outputs
Altmetric has tracked 23,556,846 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,120 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 94% 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 352,365 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.