| Title |
Early PREdiction of sepsis using leukocyte surface biomarkers: the ExPRES-sepsis cohort study
|
|---|---|
| Published in |
Intensive Care Medicine, October 2018
|
| DOI | 10.1007/s00134-018-5389-0 |
| Pubmed ID | |
| Authors |
Manu Shankar-Hari, Deepankar Datta, Julie Wilson, Valentina Assi, Jacqueline Stephen, Christopher J. Weir, Jillian Rennie, Jean Antonelli, Anthony Bateman, Jennifer M. Felton, Noel Warner, Kevin Judge, Jim Keenan, Alice Wang, Tony Burpee, Alun K. Brown, Sion M. Lewis, Tracey Mare, Alistair I. Roy, John Wright, Gillian Hulme, Ian Dimmick, Alasdair Gray, Adriano G. Rossi, A. John Simpson, Andrew Conway Morris, Timothy S. Walsh |
X Demographics
The data shown below were collected from the profiles of 60 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 24 | 40% |
| Spain | 3 | 5% |
| Australia | 2 | 3% |
| Netherlands | 2 | 3% |
| Mexico | 1 | 2% |
| Pakistan | 1 | 2% |
| Brazil | 1 | 2% |
| Malaysia | 1 | 2% |
| Colombia | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 23 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 38 | 63% |
| Practitioners (doctors, other healthcare professionals) | 14 | 23% |
| Scientists | 6 | 10% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 106 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 17% |
| Other | 9 | 8% |
| Researcher | 8 | 8% |
| Student > Master | 8 | 8% |
| Student > Bachelor | 6 | 6% |
| Other | 17 | 16% |
| Unknown | 40 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 34% |
| Agricultural and Biological Sciences | 7 | 7% |
| Nursing and Health Professions | 5 | 5% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Computer Science | 3 | 3% |
| Other | 7 | 7% |
| Unknown | 43 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 25 October 2022.
All research outputs
#1,005,571
of 25,882,826 outputs
Outputs from Intensive Care Medicine
#956
of 5,519 outputs
Outputs of similar age
#21,333
of 357,685 outputs
Outputs of similar age from Intensive Care Medicine
#15
of 129 outputs
Altmetric has tracked 25,882,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,519 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.8. This one has done well, scoring higher than 82% 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 357,685 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 94% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.