↓ Skip to main content

pyQms enables universal and accurate quantification of mass spectrometry data*

Overview of attention for article published in Molecular and Cellular Proteomics, July 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
15 X users
googleplus
1 Google+ user

Readers on

mendeley
68 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.
Article details
Title
pyQms enables universal and accurate quantification of mass spectrometry data*
Published in
Molecular and Cellular Proteomics, July 2017
DOI 10.1074/mcp.m117.068007
Pubmed ID
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 25%
Researcher 15 22%
Student > Master 7 10%
Student > Bachelor 6 9%
Student > Doctoral Student 4 6%
Other 8 12%
Unknown 11 16%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 20 29%
Biochemistry, Genetics and Molecular Biology 13 19%
Chemistry 8 12%
Computer Science 7 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 4 6%
Unknown 14 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 30 May 2018.
All research outputs
#5,191,053
of 34,622,316 outputs
Outputs from Molecular and Cellular Proteomics
#979
of 3,810 outputs
Outputs of similar age
#68,180
of 356,003 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#8
of 31 outputs
Altmetric has tracked 34,622,316 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,810 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has gotten more attention than average, scoring higher than 69% 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 356,003 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 31 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 74% of its contemporaries.