↓ Skip to main content

Laser capture microdissection coupled mass spectrometry (LCM-MS) for spatially resolved analysis of formalin-fixed and stained human lung tissues

Overview of attention for article published in Clinical Proteomics, June 2020
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
77 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
Laser capture microdissection coupled mass spectrometry (LCM-MS) for spatially resolved analysis of formalin-fixed and stained human lung tissues
Published in
Clinical Proteomics, June 2020
DOI 10.1186/s12014-020-09287-6
Pubmed ID
Authors

Jeremy A. Herrera, Venkatesh Mallikarjun, Silvia Rosini, Maria Angeles Montero, Craig Lawless, Stacey Warwood, Ronan O’Cualain, David Knight, Martin A. Schwartz, Joe Swift

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 23%
Student > Ph. D. Student 15 19%
Student > Master 6 8%
Other 5 6%
Student > Bachelor 4 5%
Other 13 17%
Unknown 16 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 21 27%
Agricultural and Biological Sciences 7 9%
Medicine and Dentistry 7 9%
Immunology and Microbiology 4 5%
Engineering 4 5%
Other 17 22%
Unknown 17 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 09 September 2020.
All research outputs
#6,969,786
of 23,306,612 outputs
Outputs from Clinical Proteomics
#84
of 288 outputs
Outputs of similar age
#148,592
of 399,698 outputs
Outputs of similar age from Clinical Proteomics
#6
of 11 outputs
Altmetric has tracked 23,306,612 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 288 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 71% 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 399,698 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 62% of its contemporaries.
We're also able to compare this research output to 11 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 54% of its contemporaries.