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X Demographics
Mendeley readers
Attention Score in Context
Title |
Computing structure-based lipid accessibility of membrane proteins with mp_lipid_acc in RosettaMP
|
---|---|
Published in |
BMC Bioinformatics, February 2017
|
DOI | 10.1186/s12859-017-1541-z |
Pubmed ID | |
Authors |
Julia Koehler Leman, Sergey Lyskov, Richard Bonneau |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Denmark | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 29% |
Researcher | 8 | 23% |
Student > Doctoral Student | 3 | 9% |
Professor > Associate Professor | 3 | 9% |
Student > Master | 3 | 9% |
Other | 5 | 14% |
Unknown | 3 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 11 | 31% |
Chemistry | 7 | 20% |
Agricultural and Biological Sciences | 3 | 9% |
Computer Science | 2 | 6% |
Chemical Engineering | 2 | 6% |
Other | 4 | 11% |
Unknown | 6 | 17% |
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 August 2023.
All research outputs
#19,701,048
of 24,214,995 outputs
Outputs from BMC Bioinformatics
#6,531
of 7,506 outputs
Outputs of similar age
#243,371
of 313,980 outputs
Outputs of similar age from BMC Bioinformatics
#106
of 139 outputs
Altmetric has tracked 24,214,995 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,506 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 313,980 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.