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BioSunMS: a plug-in-based software for the management of patients information and the analysis of peptide profiles from mass spectrometry

Overview of attention for article published in BMC Medical Informatics and Decision Making, February 2009
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
58 Mendeley
citeulike
3 CiteULike
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Title
BioSunMS: a plug-in-based software for the management of patients information and the analysis of peptide profiles from mass spectrometry
Published in
BMC Medical Informatics and Decision Making, February 2009
DOI 10.1186/1472-6947-9-13
Pubmed ID
Authors

Yuan Cao, Na Wang, Xiaomin Ying, Ailing Li, Hengsha Wang, Xuemin Zhang, Wuju Li

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
Colombia 1 2%
Italy 1 2%
Unknown 55 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 14%
Researcher 6 10%
Professor > Associate Professor 5 9%
Student > Master 3 5%
Student > Doctoral Student 3 5%
Other 11 19%
Unknown 22 38%
Readers by discipline Count As %
Computer Science 6 10%
Medicine and Dentistry 6 10%
Chemistry 6 10%
Agricultural and Biological Sciences 5 9%
Engineering 3 5%
Other 11 19%
Unknown 21 36%
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 February 2022.
All research outputs
#7,571,329
of 23,090,520 outputs
Outputs from BMC Medical Informatics and Decision Making
#780
of 2,013 outputs
Outputs of similar age
#33,353
of 94,671 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#7
of 15 outputs
Altmetric has tracked 23,090,520 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 2,013 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 58% 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 94,671 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.