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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Current Challenges in the Diagnosis of Fungal Infections.
|
|---|---|
| Chapter number | 1 |
| Book title |
Human Fungal Pathogen Identification
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6515-1_1 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6513-7, 978-1-4939-6515-1
|
| Authors |
Cornelia Lass-Flörl, Lass-Flörl, Cornelia |
| Editors |
Thomas Lion |
| Abstract |
Diagnosing fungal infections is a challenge, particularly in the immunocompromised host. Signs and symptoms are nonspecific, colonization is difficult to distinguish from invasive disease, blood cultures are commonly negative, and patients are often unable to undergo invasive diagnostic procedures. Culture and microscopic examination remain the "gold standard" but are insensitive. Antigen assays such as the galactomannan and glucan detection systems are frequently used, yet these tests vary in sensitivity and specificity, depending on the patient population involved. Molecular-based assays are not yet clinically validated. |
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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 26% |
| Researcher | 5 | 12% |
| Student > Bachelor | 3 | 7% |
| Other | 2 | 5% |
| Professor > Associate Professor | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 12 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 19% |
| Biochemistry, Genetics and Molecular Biology | 7 | 17% |
| Agricultural and Biological Sciences | 4 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 10% |
| Nursing and Health Professions | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 14 | 33% |
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 17 September 2021.
All research outputs
#13,487,741
of 22,901,818 outputs
Outputs from Methods in molecular biology
#3,633
of 13,134 outputs
Outputs of similar age
#211,704
of 420,455 outputs
Outputs of similar age from Methods in molecular biology
#326
of 1,074 outputs
Altmetric has tracked 22,901,818 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,134 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 70% 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 420,455 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 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 68% of its contemporaries.