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Small RNA sequencing and bioinformatics analysis of RAW264.7-derived exosomes after Mycobacterium Bovis Bacillus Calmette-Guérin infection

Overview of attention for article published in BMC Genomics, May 2022
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
14 Mendeley
Summary Twitter Dimensions citations
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Title
Small RNA sequencing and bioinformatics analysis of RAW264.7-derived exosomes after Mycobacterium Bovis Bacillus Calmette-Guérin infection
Published in
BMC Genomics, May 2022
DOI 10.1186/s12864-022-08590-w
Pubmed ID
35525953
Authors

Xuehua Zhan, Wenqi Yuan, Yueyong Zhou, Rong Ma, Zhaohui Ge

View on publisher site

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 29%
Student > Ph. D. Student 1 7%
Researcher 1 7%
Student > Postgraduate 1 7%
Unknown 7 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 29%
Veterinary Science and Veterinary Medicine 1 7%
Agricultural and Biological Sciences 1 7%
Immunology and Microbiology 1 7%
Unknown 7 50%

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 09 May 2022.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from BMC Genomics
#9,365
of 10,742 outputs
Outputs of similar age
#359,439
of 441,934 outputs
Outputs of similar age from BMC Genomics
#166
of 194 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,742 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 441,934 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 194 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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