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.
Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Global Emergency Medicine Journal Club: A Social Media Discussion About the Age-Adjusted D-Dimer Cutoff Levels to Rule Out Pulmonary Embolism Trial
|
|---|---|
| Published in |
Annals of Emergency Medicine, May 2015
|
| DOI | 10.1016/j.annemergmed.2015.02.024 |
| Pubmed ID | |
| Authors |
Salim R. Rezaie, Anand Swaminathan, Teresa Chan, Sam Shaikh, Michelle Lin |
| Abstract |
Annals of Emergency Medicine collaborated with an educational Web site, Academic Life in Emergency Medicine (ALiEM), to host an online discussion session featuring the 2014 Journal of the American Medical Association publication on the Age-Adjusted D-Dimer Cutoff Levels to Rule Out Pulmonary Embolism (ADJUST-PE) trial by Righini et al. The objective is to describe a 14-day (August 25 to September 7, 2014) worldwide academic dialogue among clinicians in regard to 4 preselected questions about the age-adjusted D-dimer cutoff to detect pulmonary embolism. Five online facilitators hosted the multimodal discussion on the ALiEM Web site, Twitter, and Google Hangout. Comments across the social media platforms were curated for this report, as framed by the 4 preselected questions, and engagement was tracked through various Web analytic tools. Blog and Twitter comments, as well as video expert commentary involving the ADJUST-PE trial, are summarized. The dialogue resulted in 1,169 page views from 391 cities in 52 countries on the ALiEM Web site, 502,485 Twitter impressions, and 159 views of the video interview with experts. A postdiscussion summary on the Journal Jam podcast resulted in 3,962 downloads in its first week of publication during September 16 to 23, 2014. Common themes that arose in the multimodal discussions included the heterogeneity of practices, D-dimer assays, provider knowledge about these assays, and prevalence rates in different areas of the world. This educational approach using social media technologies demonstrates a free, asynchronous means to engage a worldwide audience in scholarly discourse. |
Twitter Demographics
The data shown below were collected from the profiles of 42 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 15 | 36% |
| Canada | 5 | 12% |
| Australia | 2 | 5% |
| Chile | 1 | 2% |
| Norway | 1 | 2% |
| India | 1 | 2% |
| Spain | 1 | 2% |
| Malaysia | 1 | 2% |
| Slovenia | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 13 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 48% |
| Practitioners (doctors, other healthcare professionals) | 14 | 33% |
| Scientists | 5 | 12% |
| Science communicators (journalists, bloggers, editors) | 3 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Unknown | 79 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 17% |
| Other | 9 | 11% |
| Researcher | 8 | 10% |
| Student > Bachelor | 8 | 10% |
| Student > Doctoral Student | 7 | 9% |
| Other | 28 | 35% |
| Unknown | 7 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 43% |
| Nursing and Health Professions | 14 | 17% |
| Computer Science | 7 | 9% |
| Social Sciences | 3 | 4% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 8 | 10% |
| Unknown | 12 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 79. 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 19 June 2016.
All research outputs
#503,243
of 24,119,703 outputs
Outputs from Annals of Emergency Medicine
#261
of 6,630 outputs
Outputs of similar age
#5,972
of 268,246 outputs
Outputs of similar age from Annals of Emergency Medicine
#12
of 69 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,630 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.0. This one has done particularly well, scoring higher than 96% 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 268,246 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 97% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.