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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Meta-analysis of Chicken – Salmonella infection experiments
|
|---|---|
| Published in |
BMC Genomics, April 2012
|
| DOI | 10.1186/1471-2164-13-146 |
| Pubmed ID | |
| Authors |
Marinus FW te Pas, Ina Hulsegge, Dirkjan Schokker, Mari A Smits, Mark Fife, Rima Zoorob, Marie-Laure Endale, Johanna MJ Rebel |
| Abstract |
Chicken meat and eggs can be a source of human zoonotic pathogens, especially Salmonella species. These food items contain a potential hazard for humans. Chickens lines differ in susceptibility for Salmonella and can harbor Salmonella pathogens without showing clinical signs of illness. Many investigations including genomic studies have examined the mechanisms how chickens react to infection. Apart from the innate immune response, many physiological mechanisms and pathways are reported to be involved in the chicken host response to Salmonella infection. The objective of this study was to perform a meta-analysis of diverse experiments to identify general and host specific mechanisms to the Salmonella challenge. |
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 % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 2% |
| Unknown | 47 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 27% |
| Student > Ph. D. Student | 7 | 15% |
| Student > Bachelor | 5 | 10% |
| Professor | 4 | 8% |
| Other | 3 | 6% |
| Other | 11 | 23% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 54% |
| Veterinary Science and Veterinary Medicine | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Engineering | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 7 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 01 May 2012.
All research outputs
#16,579,551
of 25,373,627 outputs
Outputs from BMC Genomics
#6,531
of 11,244 outputs
Outputs of similar age
#110,684
of 175,435 outputs
Outputs of similar age from BMC Genomics
#50
of 102 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 41st percentile – i.e., 41% 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 175,435 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 102 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 50% of its contemporaries.