↓ Skip to main content

Whole genome sequencing of Nontuberculous Mycobacterium (NTM) isolates from sputum specimens of co-habiting patients with NTM pulmonary disease and NTM isolates from their environment

Overview of attention for article published in BMC Genomics, April 2020
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
47 Mendeley
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.
Title
Whole genome sequencing of Nontuberculous Mycobacterium (NTM) isolates from sputum specimens of co-habiting patients with NTM pulmonary disease and NTM isolates from their environment
Published in
BMC Genomics, April 2020
DOI 10.1186/s12864-020-6738-2
Pubmed ID
Authors

Jung-Ki Yoon, Taek Soo Kim, Jong-Il Kim, Jae-Joon Yim

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 11%
Student > Master 5 11%
Student > Doctoral Student 4 9%
Other 3 6%
Student > Postgraduate 3 6%
Other 9 19%
Unknown 18 38%
Readers by discipline Count As %
Medicine and Dentistry 8 17%
Immunology and Microbiology 7 15%
Biochemistry, Genetics and Molecular Biology 6 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Computer Science 2 4%
Other 4 9%
Unknown 18 38%
Attention Score in Context

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 25 April 2020.
All research outputs
#18,057,922
of 23,203,401 outputs
Outputs from BMC Genomics
#7,608
of 10,725 outputs
Outputs of similar age
#267,388
of 375,835 outputs
Outputs of similar age from BMC Genomics
#81
of 138 outputs
Altmetric has tracked 23,203,401 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 10,725 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% 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 375,835 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.