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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Design and descriptive epidemiology of the Infectious Diseases of East African Livestock (IDEAL) project, a longitudinal calf cohort study in western Kenya
|
|---|---|
| Published in |
BMC Veterinary Research, August 2013
|
| DOI | 10.1186/1746-6148-9-171 |
| Pubmed ID | |
| Authors |
Barend Mark de Clare Bronsvoort, Samuel Mwangi Thumbi, Elizabeth Jane Poole, Henry Kiara, Olga Tosas Auguet, Ian Graham Handel, Amy Jennings, Ilana Conradie, Mary Ndila Mbole-Kariuki, Philip G Toye, Olivier Hanotte, JAW Coetzer, Mark EJ Woolhouse |
| Abstract |
There is a widely recognised lack of baseline epidemiological data on the dynamics and impacts of infectious cattle diseases in east Africa. The Infectious Diseases of East African Livestock (IDEAL) project is an epidemiological study of cattle health in western Kenya with the aim of providing baseline epidemiological data, investigating the impact of different infections on key responses such as growth, mortality and morbidity, the additive and/or multiplicative effects of co-infections, and the influence of management and genetic factors.A longitudinal cohort study of newborn calves was conducted in western Kenya between 2007-2009. Calves were randomly selected from all those reported in a 2 stage clustered sampling strategy. Calves were recruited between 3 and 7 days old. A team of veterinarians and animal health assistants carried out 5-weekly, clinical and postmortem visits. Blood and tissue samples were collected in association with all visits and screened using a range of laboratory based diagnostic methods for over 100 different pathogens or infectious exposures. |
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% |
| 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Norway | 1 | <1% |
| Malaysia | 1 | <1% |
| South Africa | 1 | <1% |
| Kenya | 1 | <1% |
| Unknown | 138 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 20% |
| Student > Master | 25 | 17% |
| Student > Ph. D. Student | 22 | 15% |
| Student > Postgraduate | 8 | 6% |
| Student > Doctoral Student | 8 | 6% |
| Other | 19 | 13% |
| Unknown | 33 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 40 | 28% |
| Veterinary Science and Veterinary Medicine | 18 | 13% |
| Medicine and Dentistry | 15 | 10% |
| Biochemistry, Genetics and Molecular Biology | 6 | 4% |
| Economics, Econometrics and Finance | 4 | 3% |
| Other | 22 | 15% |
| Unknown | 39 | 27% |
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 21 July 2016.
All research outputs
#17,695,202
of 22,719,618 outputs
Outputs from BMC Veterinary Research
#1,669
of 3,037 outputs
Outputs of similar age
#143,264
of 199,368 outputs
Outputs of similar age from BMC Veterinary Research
#22
of 35 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,037 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 37th percentile – i.e., 37% 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 199,368 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 35 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.