Erratum to: Instagram photos reveal predictive markers of depression
EPJ Data Science, September 2017
Andrew G Reece, Christopher M Danforth
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
|Readers by professional status||Count||As %|
|Student > Master||5||21%|
|Student > Ph. D. Student||3||13%|
|Student > Doctoral Student||2||8%|
|Readers by discipline||Count||As %|
|Business, Management and Accounting||1||4%|
|Arts and Humanities||1||4%|
Attention Score in Context
This research output has an Altmetric Attention Score of 597. 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 28 September 2018.
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Outputs of similar age from EPJ Data Science
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Altmetric has tracked 23,001,641 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 377 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.1. This one has done particularly well, scoring higher than 98% 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 315,613 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.