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Mendeley readers
Attention Score in Context
| Title |
Genome sequence of adherent-invasive Escherichia coli and comparative genomic analysis with other E. coli pathotypes
|
|---|---|
| Published in |
BMC Genomics, November 2010
|
| DOI | 10.1186/1471-2164-11-667 |
| Pubmed ID | |
| Authors |
John HE Nash, Andre Villegas, Andrew M Kropinski, Renan Aguilar-Valenzuela, Paulina Konczy, Mariola Mascarenhas, Kim Ziebell, Alfredo G Torres, Mohamed A Karmali, Brian K Coombes |
| Abstract |
Adherent and invasive Escherichia coli (AIEC) are commonly found in ileal lesions of Crohn's Disease (CD) patients, where they adhere to intestinal epithelial cells and invade into and survive in epithelial cells and macrophages, thereby gaining access to a typically restricted host niche. Colonization leads to strong inflammatory responses in the gut suggesting that AIEC could play a role in CD immunopathology. Despite extensive investigation, the genetic determinants accounting for the AIEC phenotype remain poorly defined. To address this, we present the complete genome sequence of an AIEC, revealing the genetic blueprint for this disease-associated E. coli pathotype. |
Mendeley readers
The data shown below were compiled from readership statistics for 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Indonesia | 1 | <1% |
| France | 1 | <1% |
| Tanzania, United Republic of | 1 | <1% |
| South Africa | 1 | <1% |
| Ireland | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 212 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 43 | 19% |
| Researcher | 36 | 16% |
| Student > Bachelor | 35 | 16% |
| Student > Master | 26 | 12% |
| Other | 13 | 6% |
| Other | 33 | 15% |
| Unknown | 37 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 77 | 35% |
| Biochemistry, Genetics and Molecular Biology | 44 | 20% |
| Immunology and Microbiology | 31 | 14% |
| Medicine and Dentistry | 14 | 6% |
| Computer Science | 3 | 1% |
| Other | 13 | 6% |
| Unknown | 41 | 18% |
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 30 August 2011.
All research outputs
#20,159,700
of 22,668,244 outputs
Outputs from BMC Genomics
#9,240
of 10,614 outputs
Outputs of similar age
#169,659
of 179,890 outputs
Outputs of similar age from BMC Genomics
#78
of 84 outputs
Altmetric has tracked 22,668,244 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 10,614 research outputs from this source. They receive a mean Attention Score of 4.7. 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 179,890 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 84 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.