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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mutations and genomic islands can explain the strain dependency of sugar utilization in 21 strains of Propionibacterium freudenreichii
|
|---|---|
| Published in |
BMC Genomics, April 2015
|
| DOI | 10.1186/s12864-015-1467-7 |
| Pubmed ID | |
| Authors |
Valentin Loux, Mahendra Mariadassou, Sintia Almeida, Hélène Chiapello, Amal Hammani, Julien Buratti, Annie Gendrault, Valérie Barbe, Jean-Marc Aury, Stéphanie-Marie Deutsch, Sandrine Parayre, Marie-Noëlle Madec, Victoria Chuat, Gwenaël Jan, Pierre Peterlongo, Vasco Azevedo, Yves Le Loir, Hélène Falentin |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 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 % |
|---|---|---|
| Finland | 1 | 2% |
| France | 1 | 2% |
| Unknown | 39 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 27% |
| Student > Bachelor | 6 | 15% |
| Student > Master | 5 | 12% |
| Student > Doctoral Student | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Other | 4 | 10% |
| Unknown | 9 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 24% |
| Biochemistry, Genetics and Molecular Biology | 7 | 17% |
| Immunology and Microbiology | 3 | 7% |
| Mathematics | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 13 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 25 February 2018.
All research outputs
#3,295,706
of 25,837,817 outputs
Outputs from BMC Genomics
#1,059
of 11,367 outputs
Outputs of similar age
#40,259
of 280,600 outputs
Outputs of similar age from BMC Genomics
#28
of 263 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 90% 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 280,600 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 263 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.