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DISTEVAL: a web server for evaluating predicted protein distances

Overview of attention for article published in BMC Bioinformatics, January 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
15 Mendeley
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Title
DISTEVAL: a web server for evaluating predicted protein distances
Published in
BMC Bioinformatics, January 2021
DOI 10.1186/s12859-020-03938-z
Authors

Badri Adhikari, Bikash Shrestha, Matthew Bernardini, Jie Hou, Jamie Lea

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 20%
Lecturer 1 7%
Student > Doctoral Student 1 7%
Student > Bachelor 1 7%
Other 1 7%
Other 4 27%
Unknown 4 27%
Readers by discipline Count As %
Computer Science 3 20%
Chemistry 2 13%
Agricultural and Biological Sciences 2 13%
Environmental Science 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Other 2 13%
Unknown 4 27%

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 18 January 2021.
All research outputs
#11,060,933
of 20,048,249 outputs
Outputs from BMC Bioinformatics
#3,314
of 6,717 outputs
Outputs of similar age
#201,848
of 471,942 outputs
Outputs of similar age from BMC Bioinformatics
#226
of 471 outputs
Altmetric has tracked 20,048,249 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 6,717 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 49th percentile – i.e., 49% 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 471,942 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 56% of its contemporaries.
We're also able to compare this research output to 471 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 50% of its contemporaries.