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Using hierarchical similarity to examine the genetics of Behçet’s disease

Overview of attention for article published in BMC Research Notes, September 2021
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Title
Using hierarchical similarity to examine the genetics of Behçet’s disease
Published in
BMC Research Notes, September 2021
DOI 10.1186/s13104-021-05767-6
Pubmed ID
Authors

Samuel J. Shenoi, Erich J. Baker

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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 17 September 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from BMC Research Notes
#3,601
of 4,306 outputs
Outputs of similar age
#356,060
of 429,481 outputs
Outputs of similar age from BMC Research Notes
#46
of 54 outputs
Altmetric has tracked 23,310,485 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 4,306 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. 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 429,481 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 54 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.