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Revealing hidden information in osteoblast’s mechanotransduction through analysis of time patterns of critical events

Overview of attention for article published in BMC Bioinformatics, March 2020
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

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17 Mendeley
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Title
Revealing hidden information in osteoblast’s mechanotransduction through analysis of time patterns of critical events
Published in
BMC Bioinformatics, March 2020
DOI 10.1186/s12859-020-3394-0
Pubmed ID
Authors

Gianluca Ascolani, Timothy M. Skerry, Damien Lacroix, Enrico Dall’Ara, Aban Shuaib

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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 41%
Other 2 12%
Researcher 2 12%
Student > Bachelor 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 3 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 24%
Medicine and Dentistry 2 12%
Social Sciences 2 12%
Nursing and Health Professions 1 6%
Psychology 1 6%
Other 4 24%
Unknown 3 18%
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 18 March 2020.
All research outputs
#18,814,057
of 23,316,003 outputs
Outputs from BMC Bioinformatics
#6,420
of 7,384 outputs
Outputs of similar age
#275,997
of 368,097 outputs
Outputs of similar age from BMC Bioinformatics
#100
of 115 outputs
Altmetric has tracked 23,316,003 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 7,384 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 368,097 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 115 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.