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Online distribution channel increases article usage on Mendeley: a randomized controlled trial

Overview of attention for article published in Scientometrics, June 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
3 blogs
twitter
17 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
113 Mendeley
Title
Online distribution channel increases article usage on Mendeley: a randomized controlled trial
Published in
Scientometrics, June 2017
DOI 10.1007/s11192-017-2438-3
Pubmed ID
Authors

Paul Kudlow, Matthew Cockerill, Danielle Toccalino, Devin Bissky Dziadyk, Alan Rutledge, Aviv Shachak, Roger S. McIntyre, Arun Ravindran, Gunther Eysenbach

Abstract

Prior research shows that article reader counts (i.e. saves) on the online reference manager, Mendeley, correlate to future citations. There are currently no evidenced-based distribution strategies that have been shown to increase article saves on Mendeley. We conducted a 4-week randomized controlled trial to examine how promotion of article links in a novel online cross-publisher distribution channel (TrendMD) affect article saves on Mendeley. Four hundred articles published in the Journal of Medical Internet Research were randomized to either the TrendMD arm (n = 200) or the control arm (n = 200) of the study. Our primary outcome compares the 4-week mean Mendeley saves of articles randomized to TrendMD versus control. Articles randomized to TrendMD showed a 77% increase in article saves on Mendeley relative to control. The difference in mean Mendeley saves for TrendMD articles versus control was 2.7, 95% CI (2.63, 2.77), and statistically significant (p < 0.01). There was a positive correlation between pageviews driven by TrendMD and article saves on Mendeley (Spearman's rho r = 0.60). This is the first randomized controlled trial to show how an online cross-publisher distribution channel (TrendMD) enhances article saves on Mendeley. While replication and further study are needed, these data suggest that cross-publisher article recommendations via TrendMD may enhance citations of scholarly articles.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 113 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 16%
Librarian 14 12%
Lecturer 10 9%
Student > Bachelor 9 8%
Student > Ph. D. Student 7 6%
Other 25 22%
Unknown 30 27%
Readers by discipline Count As %
Medicine and Dentistry 14 12%
Social Sciences 14 12%
Computer Science 9 8%
Nursing and Health Professions 8 7%
Business, Management and Accounting 6 5%
Other 28 25%
Unknown 34 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 27 August 2019.
All research outputs
#1,248,821
of 25,543,275 outputs
Outputs from Scientometrics
#185
of 2,933 outputs
Outputs of similar age
#24,924
of 330,184 outputs
Outputs of similar age from Scientometrics
#4
of 52 outputs
Altmetric has tracked 25,543,275 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,933 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done particularly well, scoring higher than 93% 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 330,184 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 92% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.