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Genes with human-specific features are primarily involved with brain, immune and metabolic evolution

Overview of attention for article published in BMC Bioinformatics, November 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
44 Mendeley
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Title
Genes with human-specific features are primarily involved with brain, immune and metabolic evolution
Published in
BMC Bioinformatics, November 2019
DOI 10.1186/s12859-019-2886-2
Pubmed ID
Authors

Mainá Bitar, Stefanie Kuiper, Elizabeth A. O’Brien, Guy Barry

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 18%
Student > Ph. D. Student 7 16%
Student > Bachelor 4 9%
Professor 3 7%
Student > Doctoral Student 2 5%
Other 7 16%
Unknown 13 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 27%
Agricultural and Biological Sciences 4 9%
Medicine and Dentistry 4 9%
Neuroscience 4 9%
Engineering 2 5%
Other 3 7%
Unknown 15 34%
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 29 November 2019.
All research outputs
#7,601,692
of 23,177,498 outputs
Outputs from BMC Bioinformatics
#3,055
of 7,344 outputs
Outputs of similar age
#164,084
of 457,718 outputs
Outputs of similar age from BMC Bioinformatics
#96
of 235 outputs
Altmetric has tracked 23,177,498 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,344 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 457,718 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 56% of its contemporaries.
We're also able to compare this research output to 235 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 57% of its contemporaries.