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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Antifungal immune responses: emerging host–pathogen interactions and translational implications
|
|---|---|
| Published in |
Genome Medicine, May 2018
|
| DOI | 10.1186/s13073-018-0553-2 |
| Pubmed ID | |
| Authors |
Vinod Kumar, Frank L. van de Veerdonk, Mihai G. Netea |
| Abstract |
Understanding the complex and highly dynamic interactions between fungi and host cells in a tissue-specific manner is crucial to facilitate the development of new therapeutic approaches to infections. Here, we discuss recent studies that are revealing the mechanisms underlying this context-dependent interplay. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 57 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 16% |
| Student > Master | 8 | 14% |
| Researcher | 6 | 11% |
| Student > Bachelor | 6 | 11% |
| Lecturer | 4 | 7% |
| Other | 11 | 19% |
| Unknown | 13 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 25% |
| Biochemistry, Genetics and Molecular Biology | 10 | 18% |
| Immunology and Microbiology | 8 | 14% |
| Environmental Science | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 16 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 14 September 2020.
All research outputs
#2,773,112
of 24,093,053 outputs
Outputs from Genome Medicine
#626
of 1,491 outputs
Outputs of similar age
#56,453
of 334,892 outputs
Outputs of similar age from Genome Medicine
#11
of 25 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,491 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has gotten more attention than average, scoring higher than 58% 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 334,892 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 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.