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Mendeley readers
Attention Score in Context
| Title |
Assessment of inflammatory resilience in healthy subjects using dietary lipid and glucose challenges
|
|---|---|
| Published in |
BMC Medical Genomics, October 2013
|
| DOI | 10.1186/1755-8794-6-44 |
| Pubmed ID | |
| Authors |
Suzan Wopereis, Danielle Wolvers, Marjan van Erk, Michiel Gribnau, Bas Kremer, Ferdi A van Dorsten, Esther Boelsma, Ursula Garczarek, Nicole Cnubben, Leon Frenken, Paul van der Logt, Henk FJ Hendriks, Ruud Albers, John van Duynhoven, Ben van Ommen, Doris M Jacobs |
| Abstract |
Resilience or the ability of our body to cope with daily-life challenges has been proposed as a new definition of health, with restoration of homeostasis as target resultant of various physiological stress responses. Challenge models may thus be a sensitive measure to study the body's health. The objective of this study was to select a dietary challenge model for the assessment of inflammatory resilience. Meals are a challenge to metabolic homeostasis and are suggested to affect inflammatory pathways, yet data in literature are limited and inconsistent. |
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 States | 2 | 100% |
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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Italy | 1 | 1% |
| Unknown | 97 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 24% |
| Student > Ph. D. Student | 18 | 18% |
| Student > Bachelor | 12 | 12% |
| Student > Doctoral Student | 7 | 7% |
| Student > Master | 7 | 7% |
| Other | 17 | 17% |
| Unknown | 14 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 25% |
| Medicine and Dentistry | 14 | 14% |
| Nursing and Health Professions | 8 | 8% |
| Biochemistry, Genetics and Molecular Biology | 8 | 8% |
| Psychology | 5 | 5% |
| Other | 16 | 16% |
| Unknown | 23 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 05 November 2013.
All research outputs
#3,729,263
of 23,332,901 outputs
Outputs from BMC Medical Genomics
#168
of 1,253 outputs
Outputs of similar age
#34,517
of 213,970 outputs
Outputs of similar age from BMC Medical Genomics
#4
of 20 outputs
Altmetric has tracked 23,332,901 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,253 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 86% 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 213,970 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 83% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.