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 |
Accuracy of RNAseq based SNP discovery and genotyping in Populusnigra
|
|---|---|
| Published in |
BMC Genomics, December 2018
|
| DOI | 10.1186/s12864-018-5239-z |
| Pubmed ID | |
| Authors |
Odile Rogier, Aurélien Chateigner, Souhila Amanzougarene, Marie-Claude Lesage-Descauses, Sandrine Balzergue, Véronique Brunaud, José Caius, Ludivine Soubigou-Taconnat, Véronique Jorge, Vincent Segura |
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 % |
|---|---|---|
| France | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 29% |
| Researcher | 12 | 19% |
| Student > Master | 8 | 13% |
| Student > Bachelor | 4 | 6% |
| Professor | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 16 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 32% |
| Biochemistry, Genetics and Molecular Biology | 19 | 30% |
| Computer Science | 4 | 6% |
| Environmental Science | 2 | 3% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 16 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 14 December 2018.
All research outputs
#7,006,403
of 23,117,738 outputs
Outputs from BMC Genomics
#3,203
of 10,708 outputs
Outputs of similar age
#142,752
of 436,996 outputs
Outputs of similar age from BMC Genomics
#72
of 240 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 10,708 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 69% 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 436,996 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 240 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.