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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Phenotypic Diversity and Emerging New Tools to Study Macrophage Activation in Bacterial Infectious Diseases
|
|---|---|
| Published in |
Frontiers in immunology, October 2014
|
| DOI | 10.3389/fimmu.2014.00500 |
| Pubmed ID | |
| Authors |
Mignane B. Ka, Aurélie Daumas, Julien Textoris, Jean-Louis Mege |
| Abstract |
Macrophage polarization is a concept that has been useful to describe the different features of macrophage activation related to specific functions. Macrophage polarization is responsible for a dichotomic approach (killing vs. repair) of the host response to bacteria; M1-type conditions are protective, whereas M2-type conditions are associated with bacterial persistence. The use of the polarization concept to classify the features of macrophage activation in infected patients using transcriptional and/or molecular data and to provide biomarkers for diagnosis and prognosis has most often been unsuccessful. The confrontation of polarization with different clinical situations in which monocytes/macrophages encounter bacteria obliged us to reappraise this concept. With the exception of M2-type infectious diseases, such as leprosy and Whipple's disease, most acute (sepsis) or chronic (Q fever, tuberculosis) infectious diseases do not exhibit polarized monocytes/macrophages. This is also the case for commensals that shape the immune response and for probiotics that alter the immune response independent of macrophage polarization. We propose that the type of myeloid cells (monocytes vs. macrophages) and the kinetics of the immune response (early vs. late responses) are critical variables for understanding macrophage activation in human infectious diseases. Explorating the role of these new markers will provide important tools to better understand complex macrophage physiology. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Mexico | 1 | <1% |
| Unknown | 140 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 23% |
| Researcher | 27 | 19% |
| Student > Master | 22 | 15% |
| Student > Bachelor | 12 | 8% |
| Student > Postgraduate | 9 | 6% |
| Other | 20 | 14% |
| Unknown | 21 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 30% |
| Immunology and Microbiology | 21 | 14% |
| Biochemistry, Genetics and Molecular Biology | 20 | 14% |
| Medicine and Dentistry | 17 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
| Other | 13 | 9% |
| Unknown | 27 | 19% |
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 18 December 2015.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from Frontiers in immunology
#24,770
of 31,554 outputs
Outputs of similar age
#196,607
of 268,439 outputs
Outputs of similar age from Frontiers in immunology
#140
of 181 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,554 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 13th percentile – i.e., 13% 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 268,439 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 181 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.