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PyMod: sequence similarity searches, multiple sequence-structure alignments, and homology modeling within PyMOL

Overview of attention for article published in BMC Bioinformatics, March 2012
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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 (51st percentile)

Mentioned by

wikipedia
1 Wikipedia page

Readers on

mendeley
146 Mendeley
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Title
PyMod: sequence similarity searches, multiple sequence-structure alignments, and homology modeling within PyMOL
Published in
BMC Bioinformatics, March 2012
DOI 10.1186/1471-2105-13-s4-s2
Pubmed ID
Authors

Emanuele Bramucci, Alessandro Paiardini, Francesco Bossa, Stefano Pascarella

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Germany 1 <1%
India 1 <1%
Brazil 1 <1%
Japan 1 <1%
Czechia 1 <1%
Unknown 138 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 28%
Student > Bachelor 24 16%
Student > Master 20 14%
Researcher 16 11%
Student > Doctoral Student 9 6%
Other 18 12%
Unknown 18 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 32%
Biochemistry, Genetics and Molecular Biology 36 25%
Chemistry 18 12%
Computer Science 5 3%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 15 10%
Unknown 21 14%
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 10 September 2017.
All research outputs
#7,539,423
of 23,001,641 outputs
Outputs from BMC Bioinformatics
#3,037
of 7,312 outputs
Outputs of similar age
#52,977
of 161,124 outputs
Outputs of similar age from BMC Bioinformatics
#32
of 82 outputs
Altmetric has tracked 23,001,641 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 7,312 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 161,124 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 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 51% of its contemporaries.