You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mapping in an apple (Malus x domestica) F1segregating population based on physical clustering of differentially expressed genes
|
|---|---|
| Published in |
BMC Genomics, April 2014
|
| DOI | 10.1186/1471-2164-15-261 |
| Pubmed ID | |
| Authors |
Philip J Jensen, Gennaro Fazio, Naomi Altman, Craig Praul, Timothy W McNellis |
| Abstract |
Apple tree breeding is slow and difficult due to long generation times, self-incompatibility, and complex genetics. The identification of molecular markers linked to traits of interest is a way to expedite the breeding process. In the present study, we aimed to identify genes whose steady-state transcript abundance was associated with inheritance of specific traits segregating in an apple (Malus × domestica) rootstock F1 breeding population, including resistance to powdery mildew (Podosphaera leucotricha) disease and woolly apple aphid (Eriosoma lanigerum). |
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 % |
|---|---|---|
| France | 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Netherlands | 1 | 2% |
| United States | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 50 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 33% |
| Student > Ph. D. Student | 15 | 28% |
| Student > Bachelor | 7 | 13% |
| Professor > Associate Professor | 4 | 7% |
| Student > Master | 4 | 7% |
| Other | 5 | 9% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 65% |
| Biochemistry, Genetics and Molecular Biology | 6 | 11% |
| Computer Science | 2 | 4% |
| Engineering | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 4 | 7% |
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 19 November 2014.
All research outputs
#18,349,015
of 23,577,654 outputs
Outputs from BMC Genomics
#7,740
of 10,787 outputs
Outputs of similar age
#158,118
of 227,757 outputs
Outputs of similar age from BMC Genomics
#98
of 163 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 22nd percentile – i.e., 22% 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 227,757 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 163 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.