↓ Skip to main content

From theory to practice: insights and hurdles in collecting social media data for social science research

Overview of attention for article published in Frontiers in Big Data, May 2024
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
3 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
From theory to practice: insights and hurdles in collecting social media data for social science research
Published in
Frontiers in Big Data, May 2024
DOI 10.3389/fdata.2024.1379921
Pubmed ID
Authors

Yan Chen, Kate Sherren, Kyung Young Lee, Lori McCay-Peet, Shan Xue, Michael Smit

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 67%
Lecturer 1 33%
Readers by discipline Count As %
Environmental Science 1 33%
Medicine and Dentistry 1 33%
Unknown 1 33%
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 03 July 2024.
All research outputs
#17,920,957
of 26,237,895 outputs
Outputs from Frontiers in Big Data
#258
of 500 outputs
Outputs of similar age
#134,269
of 266,091 outputs
Outputs of similar age from Frontiers in Big Data
#3
of 19 outputs
Altmetric has tracked 26,237,895 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 500 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 39th percentile – i.e., 39% 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 266,091 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 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 73% of its contemporaries.