↓ Skip to main content

IP4M: an integrated platform for mass spectrometry-based metabolomics data mining

Overview of attention for article published in BMC Bioinformatics, October 2020
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
49 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
IP4M: an integrated platform for mass spectrometry-based metabolomics data mining
Published in
BMC Bioinformatics, October 2020
DOI 10.1186/s12859-020-03786-x
Pubmed ID
Authors

Dandan Liang, Quan Liu, Kejun Zhou, Wei Jia, Guoxiang Xie, Tianlu Chen

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

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 27%
Student > Bachelor 7 14%
Student > Ph. D. Student 7 14%
Professor > Associate Professor 4 8%
Lecturer 3 6%
Other 8 16%
Unknown 7 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 20%
Biochemistry, Genetics and Molecular Biology 6 12%
Chemistry 6 12%
Computer Science 5 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Other 9 18%
Unknown 11 22%

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 11 October 2020.
All research outputs
#10,752,460
of 19,069,422 outputs
Outputs from BMC Bioinformatics
#3,528
of 6,513 outputs
Outputs of similar age
#152,740
of 323,882 outputs
Outputs of similar age from BMC Bioinformatics
#21
of 50 outputs
Altmetric has tracked 19,069,422 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,513 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 43rd percentile – i.e., 43% 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 323,882 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 51% of its contemporaries.
We're also able to compare this research output to 50 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 57% of its contemporaries.