You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of MALDI-TOF MS to rapid identification of anaerobic bacteria
|
|---|---|
| Published in |
BMC Infectious Diseases, November 2019
|
| DOI | 10.1186/s12879-019-4584-0 |
| Pubmed ID | |
| Authors |
Ying Li, Mingzhu Shan, Zuobin Zhu, Xuhua Mao, Mingju Yan, Ying Chen, Qiuju Zhu, Hongchun Li, Bing Gu |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Saudi Arabia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 127 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 23 | 18% |
| Student > Ph. D. Student | 16 | 13% |
| Student > Bachelor | 10 | 8% |
| Student > Doctoral Student | 8 | 6% |
| Researcher | 8 | 6% |
| Other | 17 | 13% |
| Unknown | 45 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 26 | 20% |
| Agricultural and Biological Sciences | 13 | 10% |
| Immunology and Microbiology | 12 | 9% |
| Medicine and Dentistry | 10 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
| Other | 15 | 12% |
| Unknown | 47 | 37% |
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 12 December 2020.
All research outputs
#16,566,564
of 24,373,273 outputs
Outputs from BMC Infectious Diseases
#4,825
of 8,147 outputs
Outputs of similar age
#232,190
of 370,642 outputs
Outputs of similar age from BMC Infectious Diseases
#84
of 155 outputs
Altmetric has tracked 24,373,273 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,147 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 32nd percentile – i.e., 32% 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 370,642 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.