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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Patchwork sequencing of tomato San Marzano and Vesuviano varieties highlights genome-wide variations
|
|---|---|
| Published in |
BMC Genomics, February 2014
|
| DOI | 10.1186/1471-2164-15-138 |
| Pubmed ID | |
| Authors |
Maria Raffaella Ercolano, Adriana Sacco, Francesca Ferriello, Raffaella D’Alessandro, Paola Tononi, Alessandra Traini, Amalia Barone, Elisa Zago, Maria Luisa Chiusano, Genny Buson, Massimo Delledonne, Luigi Frusciante |
| Abstract |
Investigation of tomato genetic resources is a crucial issue for better straight evolution and genetic studies as well as tomato breeding strategies. Traditional Vesuviano and San Marzano varieties grown in Campania region (Southern Italy) are famous for their remarkable fruit quality. Owing to their economic and social importance is crucial to understand the genetic basis of their unique traits. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 5% |
| Netherlands | 1 | 2% |
| France | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 36 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 34% |
| Student > Doctoral Student | 5 | 12% |
| Student > Ph. D. Student | 4 | 10% |
| Student > Postgraduate | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 5 | 12% |
| Unknown | 7 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 29 | 71% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Computer Science | 2 | 5% |
| Social Sciences | 1 | 2% |
| Unknown | 7 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 06 March 2014.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from BMC Genomics
#7,120
of 11,244 outputs
Outputs of similar age
#145,627
of 238,829 outputs
Outputs of similar age from BMC Genomics
#128
of 218 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 27th percentile – i.e., 27% 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 238,829 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.