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X Demographics
Mendeley readers
Attention Score in Context
Title |
Animal Models for Tuberculosis in Translational and Precision Medicine
|
---|---|
Published in |
Frontiers in Microbiology, May 2017
|
DOI | 10.3389/fmicb.2017.00717 |
Pubmed ID | |
Authors |
Lingjun Zhan, Jun Tang, Mengmeng Sun, Chuan Qin |
Abstract |
Tuberculosis (TB) is a health threat to the global population. Anti-TB drugs and vaccines are key approaches for TB prevention and control. TB animal models are basic tools for developing biomarkers of diagnosis, drugs for therapy, vaccines for prevention and researching pathogenic mechanisms for identification of targets; thus, they serve as the cornerstone of comparative medicine, translational medicine, and precision medicine. In this review, we discuss the current use of TB animal models and their problems, as well as offering perspectives on the future of these models. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 136 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 28 | 21% |
Student > Bachelor | 17 | 13% |
Researcher | 15 | 11% |
Student > Master | 15 | 11% |
Student > Doctoral Student | 12 | 9% |
Other | 19 | 14% |
Unknown | 30 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Immunology and Microbiology | 23 | 17% |
Medicine and Dentistry | 17 | 13% |
Agricultural and Biological Sciences | 17 | 13% |
Biochemistry, Genetics and Molecular Biology | 14 | 10% |
Pharmacology, Toxicology and Pharmaceutical Science | 10 | 7% |
Other | 18 | 13% |
Unknown | 37 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 11 May 2017.
All research outputs
#14,720,444
of 23,577,654 outputs
Outputs from Frontiers in Microbiology
#13,017
of 26,068 outputs
Outputs of similar age
#175,197
of 312,177 outputs
Outputs of similar age from Frontiers in Microbiology
#310
of 526 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,068 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 45th percentile – i.e., 45% 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 312,177 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 526 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.