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Electronic health records to facilitate clinical research

Overview of attention for article published in Clinical Research in Cardiology, August 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 1,125)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
37 news outlets
blogs
1 blog
policy
1 policy source
twitter
7 X users
patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
425 Dimensions

Readers on

mendeley
811 Mendeley
Title
Electronic health records to facilitate clinical research
Published in
Clinical Research in Cardiology, August 2016
DOI 10.1007/s00392-016-1025-6
Pubmed ID
Authors

Martin R. Cowie, Juuso I. Blomster, Lesley H. Curtis, Sylvie Duclaux, Ian Ford, Fleur Fritz, Samantha Goldman, Salim Janmohamed, Jörg Kreuzer, Mark Leenay, Alexander Michel, Seleen Ong, Jill P. Pell, Mary Ross Southworth, Wendy Gattis Stough, Martin Thoenes, Faiez Zannad, Andrew Zalewski

Abstract

Electronic health records (EHRs) provide opportunities to enhance patient care, embed performance measures in clinical practice, and facilitate clinical research. Concerns have been raised about the increasing recruitment challenges in trials, burdensome and obtrusive data collection, and uncertain generalizability of the results. Leveraging electronic health records to counterbalance these trends is an area of intense interest. The initial applications of electronic health records, as the primary data source is envisioned for observational studies, embedded pragmatic or post-marketing registry-based randomized studies, or comparative effectiveness studies. Advancing this approach to randomized clinical trials, electronic health records may potentially be used to assess study feasibility, to facilitate patient recruitment, and streamline data collection at baseline and follow-up. Ensuring data security and privacy, overcoming the challenges associated with linking diverse systems and maintaining infrastructure for repeat use of high quality data, are some of the challenges associated with using electronic health records in clinical research. Collaboration between academia, industry, regulatory bodies, policy makers, patients, and electronic health record vendors is critical for the greater use of electronic health records in clinical research. This manuscript identifies the key steps required to advance the role of electronic health records in cardiovascular clinical research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 811 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 <1%
Unknown 810 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 99 12%
Student > Ph. D. Student 93 11%
Researcher 78 10%
Student > Bachelor 64 8%
Student > Doctoral Student 41 5%
Other 137 17%
Unknown 299 37%
Readers by discipline Count As %
Medicine and Dentistry 125 15%
Computer Science 89 11%
Nursing and Health Professions 65 8%
Unspecified 29 4%
Pharmacology, Toxicology and Pharmaceutical Science 23 3%
Other 151 19%
Unknown 329 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 308. 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 06 April 2024.
All research outputs
#112,926
of 25,998,826 outputs
Outputs from Clinical Research in Cardiology
#7
of 1,125 outputs
Outputs of similar age
#2,341
of 358,085 outputs
Outputs of similar age from Clinical Research in Cardiology
#1
of 10 outputs
Altmetric has tracked 25,998,826 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 1,125 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one has done particularly well, scoring higher than 99% 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 358,085 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them