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Mendeley readers
Attention Score in Context
| Title |
Molecular identification of clinical “difficult-to-identify” microbes from sequencing 16S ribosomal DNA and internal transcribed spacer 2
|
|---|---|
| Published in |
Annals of Clinical Microbiology and Antimicrobials, January 2014
|
| DOI | 10.1186/1476-0711-13-1 |
| Pubmed ID | |
| Authors |
Cancan Cheng, Jingjing Sun, Fen Zheng, Kuihai Wu, Yongyu Rui |
| Abstract |
Clinical microbiology laboratories have to accurately identify clinical microbes. However, some isolates are difficult to identify by the automated biochemical text platforms, which are called "difficult-to-identify" microbes in this study. Therefore, the ability of 16S ribosomal DNA (16S rDNA) and internal transcribed spacer 2 (ITS2) sequencing to identify these "difficult-to-identify" bacteria and fungi was assessed in this study. |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 63 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 16% |
| Student > Master | 9 | 14% |
| Researcher | 7 | 11% |
| Student > Ph. D. Student | 7 | 11% |
| Professor | 4 | 6% |
| Other | 10 | 16% |
| Unknown | 17 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 10 | 16% |
| Agricultural and Biological Sciences | 10 | 16% |
| Biochemistry, Genetics and Molecular Biology | 8 | 13% |
| Medicine and Dentistry | 8 | 13% |
| Environmental Science | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 20 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 21 August 2019.
All research outputs
#7,455,649
of 22,793,427 outputs
Outputs from Annals of Clinical Microbiology and Antimicrobials
#160
of 607 outputs
Outputs of similar age
#91,706
of 304,743 outputs
Outputs of similar age from Annals of Clinical Microbiology and Antimicrobials
#5
of 15 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 607 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 67% 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 304,743 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 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 66% of its contemporaries.