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Lightweight methods to estimate influenza rates and alcohol sales volume from Twitter messages

Overview of attention for article published in Language Resources and Evaluation, May 2012
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Mentioned by

twitter
1 X user

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
77 Mendeley
citeulike
1 CiteULike
Title
Lightweight methods to estimate influenza rates and alcohol sales volume from Twitter messages
Published in
Language Resources and Evaluation, May 2012
DOI 10.1007/s10579-012-9185-0
Authors

Aron Culotta

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 %
United Kingdom 1 1%
United States 1 1%
Portugal 1 1%
Unknown 74 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 31%
Student > Master 13 17%
Researcher 11 14%
Lecturer 4 5%
Student > Doctoral Student 3 4%
Other 18 23%
Unknown 4 5%
Readers by discipline Count As %
Computer Science 35 45%
Business, Management and Accounting 6 8%
Medicine and Dentistry 6 8%
Linguistics 5 6%
Social Sciences 4 5%
Other 11 14%
Unknown 10 13%
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 22 March 2016.
All research outputs
#19,382,126
of 23,854,458 outputs
Outputs from Language Resources and Evaluation
#255
of 331 outputs
Outputs of similar age
#128,505
of 165,725 outputs
Outputs of similar age from Language Resources and Evaluation
#4
of 5 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 331 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 9th percentile – i.e., 9% 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 165,725 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.