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A network-based approach for identifying suitable biomarkers for oral immunotherapy of food allergy

Overview of attention for article published in BMC Bioinformatics, April 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter
facebook
1 Facebook page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
21 Mendeley
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Title
A network-based approach for identifying suitable biomarkers for oral immunotherapy of food allergy
Published in
BMC Bioinformatics, April 2019
DOI 10.1186/s12859-019-2802-9
Authors

Jolanda H. M. van Bilsen, Lars Verschuren, Laura Wagenaar, Marlotte M. Vonk, Betty C. A. M. van Esch, Léon M. J. Knippels, Johan Garssen, Joost J. Smit, Raymond H. H. Pieters, Tim J. van den Broek

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 29%
Student > Ph. D. Student 5 24%
Student > Master 3 14%
Student > Bachelor 2 10%
Student > Doctoral Student 1 5%
Other 1 5%
Unknown 3 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 14%
Medicine and Dentistry 3 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 10%
Agricultural and Biological Sciences 2 10%
Immunology and Microbiology 2 10%
Other 3 14%
Unknown 6 29%

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 03 May 2019.
All research outputs
#11,260,893
of 14,793,395 outputs
Outputs from BMC Bioinformatics
#4,291
of 5,490 outputs
Outputs of similar age
#181,798
of 265,854 outputs
Outputs of similar age from BMC Bioinformatics
#35
of 59 outputs
Altmetric has tracked 14,793,395 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,490 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 16th percentile – i.e., 16% 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 265,854 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.