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Attenuating dependence on structural data in computing protein energy landscapes

Overview of attention for article published in BMC Bioinformatics, June 2019
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10 Mendeley
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Title
Attenuating dependence on structural data in computing protein energy landscapes
Published in
BMC Bioinformatics, June 2019
DOI 10.1186/s12859-019-2822-5
Pubmed ID
Authors

David Morris, Tatiana Maximova, Erion Plaku, Amarda Shehu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 20%
Student > Master 2 20%
Student > Bachelor 1 10%
Other 1 10%
Student > Doctoral Student 1 10%
Other 1 10%
Unknown 2 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 50%
Physics and Astronomy 2 20%
Unknown 3 30%
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 07 June 2019.
All research outputs
#18,684,243
of 23,150,406 outputs
Outputs from BMC Bioinformatics
#6,375
of 7,339 outputs
Outputs of similar age
#263,322
of 352,687 outputs
Outputs of similar age from BMC Bioinformatics
#163
of 192 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,339 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 352,687 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.