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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Transcriptome sequencing for high throughput SNP development and genetic mapping in Pea
|
|---|---|
| Published in |
BMC Genomics, February 2014
|
| DOI | 10.1186/1471-2164-15-126 |
| Pubmed ID | |
| Authors |
Jorge Duarte, Nathalie Rivière, Alain Baranger, Grégoire Aubert, Judith Burstin, Laurent Cornet, Clément Lavaud, Isabelle Lejeune-Hénaut, Jean-Pierre Martinant, Jean-Philippe Pichon, Marie-Laure Pilet-Nayel, Gilles Boutet |
| Abstract |
Pea has a complex genome of 4.3 Gb for which only limited genomic resources are available to date. Although SNP markers are now highly valuable for research and modern breeding, only a few are described and used in pea for genetic diversity and linkage analysis. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 3% |
| France | 2 | 2% |
| Netherlands | 1 | 1% |
| Czechia | 1 | 1% |
| India | 1 | 1% |
| Unknown | 90 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 34% |
| Student > Ph. D. Student | 15 | 15% |
| Student > Master | 13 | 13% |
| Student > Bachelor | 6 | 6% |
| Professor > Associate Professor | 5 | 5% |
| Other | 11 | 11% |
| Unknown | 15 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 59 | 60% |
| Biochemistry, Genetics and Molecular Biology | 15 | 15% |
| Nursing and Health Professions | 2 | 2% |
| Computer Science | 2 | 2% |
| Economics, Econometrics and Finance | 1 | 1% |
| Other | 2 | 2% |
| Unknown | 17 | 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 13 February 2014.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Genomics
#9,455
of 10,793 outputs
Outputs of similar age
#279,084
of 318,864 outputs
Outputs of similar age from BMC Genomics
#397
of 443 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 318,864 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 443 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.