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X Demographics
Mendeley readers
Attention Score in Context
Title |
Trends in mathematical modeling of host–pathogen interactions
|
---|---|
Published in |
Cellular and Molecular Life Sciences, November 2019
|
DOI | 10.1007/s00018-019-03382-0 |
Pubmed ID | |
Authors |
Jan Ewald, Patricia Sieber, Ravindra Garde, Stefan N. Lang, Stefan Schuster, Bashar Ibrahim |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 67 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 18% |
Researcher | 7 | 10% |
Student > Bachelor | 7 | 10% |
Student > Master | 6 | 9% |
Student > Doctoral Student | 4 | 6% |
Other | 10 | 15% |
Unknown | 21 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 9 | 13% |
Computer Science | 7 | 10% |
Biochemistry, Genetics and Molecular Biology | 7 | 10% |
Mathematics | 7 | 10% |
Engineering | 2 | 3% |
Other | 9 | 13% |
Unknown | 26 | 39% |
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 December 2019.
All research outputs
#16,031,680
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#3,071
of 4,151 outputs
Outputs of similar age
#280,713
of 463,098 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#43
of 80 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 19th percentile – i.e., 19% 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 463,098 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 80 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.