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Mendeley readers
Attention Score in Context
| Title |
Genome Sequence of the Plant-Pathogenic Bacterium Dickeya dadantii 3937
|
|---|---|
| Published in |
Journal of Bacteriology, January 2011
|
| DOI | 10.1128/jb.01513-10 |
| Pubmed ID | |
| Authors |
Jeremy D. Glasner, Ching-Hong Yang, Sylvie Reverchon, Nicole Hugouvieux-Cotte-Pattat, Guy Condemine, Jean-Pierre Bohin, Frédérique Van Gijsegem, Shihui Yang, Thierry Franza, Dominique Expert, Guy Plunkett, Michael J. San Francisco, Amy O. Charkowski, Béatrice Py, Kenneth Bell, Lise Rauscher, Pablo Rodriguez-Palenzuela, Ariane Toussaint, Maria C. Holeva, Sheng Yang He, Vanessa Douet, Martine Boccara, Carlos Blanco, Ian Toth, Bradley D. Anderson, Bryan S. Biehl, Bob Mau, Sarah M. Flynn, Frédéric Barras, Magdalen Lindeberg, Paul R. J. Birch, Shinji Tsuyumu, Xiangyang Shi, Michael Hibbing, Yap Mee-Ngan, Mathilde Carpentier, Elie Dassa, Masahiro Umehara, Jihyun F. Kim, Michael Rusch, Pritin Soni, George F. Mayhew, Derrick E. Fouts, Steven R. Gill, Frederick R. Blattner, Noel T. Keen, Nicole T. Perna |
| Abstract |
Dickeya dadantii is a plant-pathogenic enterobacterium responsible for the soft rot disease of many plants of economic importance. We present here the sequence of strain 3937, a strain widely used as a model system for research on the molecular biology and pathogenicity of this group of bacteria. |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| South Africa | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 92 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 24% |
| Student > Ph. D. Student | 16 | 17% |
| Student > Master | 11 | 11% |
| Student > Doctoral Student | 6 | 6% |
| Student > Bachelor | 5 | 5% |
| Other | 16 | 17% |
| Unknown | 19 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 46% |
| Biochemistry, Genetics and Molecular Biology | 18 | 19% |
| Immunology and Microbiology | 8 | 8% |
| Business, Management and Accounting | 2 | 2% |
| Engineering | 2 | 2% |
| Other | 3 | 3% |
| Unknown | 19 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 04 July 2017.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from Journal of Bacteriology
#6,153
of 16,901 outputs
Outputs of similar age
#58,066
of 190,837 outputs
Outputs of similar age from Journal of Bacteriology
#35
of 74 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,901 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 13th percentile – i.e., 13% 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 190,837 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.