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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Incorporating Statistical Test and Machine Intelligence Into Strain Typing of Staphylococcus haemolyticus Based on Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry
|
|---|---|
| Published in |
Frontiers in Microbiology, September 2019
|
| DOI | 10.3389/fmicb.2019.02120 |
| Pubmed ID | |
| Authors |
Chia-Ru Chung, Hsin-Yao Wang, Frank Lien, Yi-Ju Tseng, Chun-Hsien Chen, Tzong-Yi Lee, Tsui-Ping Liu, Jorng-Tzong Horng, Jang-Jih Lu |
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 % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 15% |
| Student > Bachelor | 4 | 10% |
| Other | 4 | 10% |
| Researcher | 4 | 10% |
| Student > Master | 4 | 10% |
| Other | 5 | 12% |
| Unknown | 14 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 7% |
| Computer Science | 3 | 7% |
| Agricultural and Biological Sciences | 3 | 7% |
| Veterinary Science and Veterinary Medicine | 2 | 5% |
| Other | 10 | 24% |
| Unknown | 16 | 39% |
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 26 September 2019.
All research outputs
#18,030,214
of 23,163,378 outputs
Outputs from Frontiers in Microbiology
#17,551
of 25,393 outputs
Outputs of similar age
#238,889
of 340,389 outputs
Outputs of similar age from Frontiers in Microbiology
#476
of 691 outputs
Altmetric has tracked 23,163,378 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,393 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 22nd percentile – i.e., 22% 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 340,389 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 691 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.