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Detection of antiviral drug resistance in patients with congenital cytomegalovirus infection using long-read sequencing: a retrospective observational study

Overview of attention for article published in BMC Infectious Diseases, June 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Detection of antiviral drug resistance in patients with congenital cytomegalovirus infection using long-read sequencing: a retrospective observational study
Published in
BMC Infectious Diseases, June 2022
DOI 10.1186/s12879-022-07537-6
Pubmed ID
Authors

Yuka Torii, Kazuhiro Horiba, Jun-ichi Kawada, Kazunori Haruta, Makoto Yamaguchi, Takako Suzuki, Hideko Uryu, Naoyuki Kashiwa, Keiji Goishi, Tomoo Ogi, Yoshinori Ito

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 13%
Student > Ph. D. Student 2 13%
Lecturer 1 7%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Other 0 0%
Unknown 8 53%
Readers by discipline Count As %
Medicine and Dentistry 4 27%
Immunology and Microbiology 2 13%
Nursing and Health Professions 1 7%
Mathematics 1 7%
Agricultural and Biological Sciences 1 7%
Other 0 0%
Unknown 6 40%
Attention Score in Context

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 28 June 2022.
All research outputs
#12,901,402
of 22,759,618 outputs
Outputs from BMC Infectious Diseases
#2,988
of 7,665 outputs
Outputs of similar age
#164,210
of 440,080 outputs
Outputs of similar age from BMC Infectious Diseases
#54
of 169 outputs
Altmetric has tracked 22,759,618 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 7,665 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 59% 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 440,080 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 61% of its contemporaries.
We're also able to compare this research output to 169 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.