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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Rapid and simple colorimetric detection of multiple influenza viruses infecting humans using a reverse transcriptional loop-mediated isothermal amplification (RT-LAMP) diagnostic platform
|
|---|---|
| Published in |
BMC Infectious Diseases, August 2019
|
| DOI | 10.1186/s12879-019-4277-8 |
| Pubmed ID | |
| Authors |
Su Jeong Ahn, Yun Hee Baek, Khristine Kaith S. Lloren, Won-Suk Choi, Ju Hwan Jeong, Khristine Joy C. Antigua, Hyeok-il Kwon, Su-Jin Park, Eun-Ha Kim, Young-il Kim, Young-Jae Si, Seung Bok Hong, Kyeong Seob Shin, Sungkun Chun, Young Ki Choi, Min-Suk Song |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Israel | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 139 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 15% |
| Student > Ph. D. Student | 19 | 14% |
| Student > Master | 14 | 10% |
| Student > Bachelor | 14 | 10% |
| Student > Doctoral Student | 8 | 6% |
| Other | 21 | 15% |
| Unknown | 42 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 33 | 24% |
| Agricultural and Biological Sciences | 17 | 12% |
| Engineering | 6 | 4% |
| Medicine and Dentistry | 6 | 4% |
| Immunology and Microbiology | 4 | 3% |
| Other | 23 | 17% |
| Unknown | 50 | 36% |
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 23 April 2024.
All research outputs
#14,641,106
of 25,770,491 outputs
Outputs from BMC Infectious Diseases
#3,512
of 8,699 outputs
Outputs of similar age
#171,818
of 360,637 outputs
Outputs of similar age from BMC Infectious Diseases
#72
of 180 outputs
Altmetric has tracked 25,770,491 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,699 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 58% 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 360,637 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 180 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 60% of its contemporaries.