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Analyzing a co-occurrence gene-interaction network to identify disease-gene association

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

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

Mentioned by

twitter
6 X users

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
76 Mendeley
citeulike
1 CiteULike
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Title
Analyzing a co-occurrence gene-interaction network to identify disease-gene association
Published in
BMC Bioinformatics, February 2019
DOI 10.1186/s12859-019-2634-7
Pubmed ID
Authors

Amira Al-Aamri, Kamal Taha, Yousof Al-Hammadi, Maher Maalouf, Dirar Homouz

Timeline

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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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 17%
Student > Bachelor 8 11%
Researcher 7 9%
Student > Master 6 8%
Student > Doctoral Student 5 7%
Other 8 11%
Unknown 29 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 25%
Computer Science 9 12%
Agricultural and Biological Sciences 9 12%
Medicine and Dentistry 4 5%
Chemical Engineering 1 1%
Other 4 5%
Unknown 30 39%
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 19 March 2019.
All research outputs
#15,057,322
of 26,374,136 outputs
Outputs from BMC Bioinformatics
#3,936
of 7,798 outputs
Outputs of similar age
#224,993
of 454,249 outputs
Outputs of similar age from BMC Bioinformatics
#72
of 178 outputs
Altmetric has tracked 26,374,136 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 7,798 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 47th percentile – i.e., 47% 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 454,249 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 50% of its contemporaries.
We're also able to compare this research output to 178 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.