↓ Skip to main content

HTMoL: full-stack solution for remote access, visualization, and analysis of molecular dynamics trajectory data

Overview of attention for article published in Perspectives in Drug Discovery and Design, August 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
24 Mendeley
Title
HTMoL: full-stack solution for remote access, visualization, and analysis of molecular dynamics trajectory data
Published in
Perspectives in Drug Discovery and Design, August 2018
DOI 10.1007/s10822-018-0141-y
Pubmed ID
Authors

Mauricio Carrillo-Tripp, Leonardo Alvarez-Rivera, Omar Israel Lara-Ramírez, Francisco Javier Becerra-Toledo, Adan Vega-Ramírez, Emmanuel Quijas-Valades, Eduardo González-Zavala, Julio Cesar González-Vázquez, Javier García-Vieyra, Nelly Beatriz Santoyo-Rivera, Sergio Victor Chapa-Vergara, Amilcar Meneses-Viveros

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 21%
Student > Master 5 21%
Researcher 5 21%
Student > Doctoral Student 1 4%
Student > Ph. D. Student 1 4%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 17%
Chemistry 4 17%
Computer Science 3 13%
Agricultural and Biological Sciences 2 8%
Engineering 2 8%
Other 4 17%
Unknown 5 21%
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 23 November 2017.
All research outputs
#14,843,854
of 25,461,852 outputs
Outputs from Perspectives in Drug Discovery and Design
#673
of 949 outputs
Outputs of similar age
#172,806
of 340,935 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#19
of 25 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 949 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 28th percentile – i.e., 28% 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 340,935 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.