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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Systems Model for Immune Cell Interactions Unravels the Mechanism of Inflammation in Human Skin
|
|---|---|
| Published in |
PLoS Computational Biology, December 2010
|
| DOI | 10.1371/journal.pcbi.1001024 |
| Pubmed ID | |
| Authors |
Najl V. Valeyev, Christian Hundhausen, Yoshinori Umezawa, Nikolay V. Kotov, Gareth Williams, Alex Clop, Crysanthi Ainali, Christos Ouzounis, Sophia Tsoka, Frank O. Nestle |
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 % |
|---|---|---|
| Italy | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Korea, Republic of | 2 | 2% |
| United Kingdom | 2 | 2% |
| Germany | 1 | <1% |
| India | 1 | <1% |
| Austria | 1 | <1% |
| Netherlands | 1 | <1% |
| Russia | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 2 | 2% |
| Unknown | 111 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 33% |
| Student > Ph. D. Student | 31 | 25% |
| Other | 9 | 7% |
| Student > Master | 8 | 6% |
| Professor | 5 | 4% |
| Other | 16 | 13% |
| Unknown | 15 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 40% |
| Biochemistry, Genetics and Molecular Biology | 12 | 10% |
| Medicine and Dentistry | 12 | 10% |
| Engineering | 9 | 7% |
| Mathematics | 7 | 6% |
| Other | 19 | 15% |
| Unknown | 16 | 13% |
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 24 November 2018.
All research outputs
#17,313,103
of 25,411,814 outputs
Outputs from PLoS Computational Biology
#7,488
of 8,976 outputs
Outputs of similar age
#152,432
of 190,764 outputs
Outputs of similar age from PLoS Computational Biology
#41
of 55 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,976 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 11th percentile – i.e., 11% 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 190,764 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.