| Title |
Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds
|
|---|---|
| Published in |
Metabolomics, March 2019
|
| DOI | 10.1007/s11306-019-1503-8 |
| Pubmed ID | |
| Authors |
Adriano Nunes-Nesi, Saleh Alseekh, Franklin Magnum de Oliveira Silva, Nooshin Omranian, Gabriel Lichtenstein, Mohammad Mirnezhad, Roman R. Romero González, Julia Sabio y Garcia, Mariana Conte, Kirsten A. Leiss, Peter G. L. Klinkhamer, Zoran Nikoloski, Fernando Carrari, Alisdair R. Fernie |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| United Kingdom | 1 | 20% |
| Qatar | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 20% |
| Student > Master | 7 | 14% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Doctoral Student | 3 | 6% |
| Professor > Associate Professor | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 14 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 49% |
| Biochemistry, Genetics and Molecular Biology | 6 | 12% |
| Unspecified | 1 | 2% |
| Arts and Humanities | 1 | 2% |
| Social Sciences | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 16 | 33% |
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 28 April 2020.
All research outputs
#13,641,926
of 23,133,982 outputs
Outputs from Metabolomics
#674
of 1,305 outputs
Outputs of similar age
#179,100
of 351,795 outputs
Outputs of similar age from Metabolomics
#26
of 49 outputs
Altmetric has tracked 23,133,982 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,305 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 351,795 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.