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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Diagnostic accuracy of a screening electronic alert tool for severe sepsis and septic shock in the emergency department
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2014
|
| DOI | 10.1186/s12911-014-0105-7 |
| Pubmed ID | |
| Authors |
Sami Alsolamy, Majid Al Salamah, Majed Al Thagafi, Hasan M Al-Dorzi, Abdellatif M Marini, Nawfal Aljerian, Farhan Al-Enezi, Fatimah Al-Hunaidi, Ahmed M Mahmoud, Ahmed Alamry, Yaseen M Arabi |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 119 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 13% |
| Researcher | 15 | 12% |
| Student > Master | 14 | 12% |
| Student > Postgraduate | 11 | 9% |
| Unspecified | 11 | 9% |
| Other | 36 | 30% |
| Unknown | 18 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 46 | 38% |
| Unspecified | 11 | 9% |
| Computer Science | 11 | 9% |
| Nursing and Health Professions | 11 | 9% |
| Social Sciences | 6 | 5% |
| Other | 16 | 13% |
| Unknown | 20 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 May 2015.
All research outputs
#15,333,633
of 22,807,037 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,312
of 1,988 outputs
Outputs of similar age
#213,299
of 359,942 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#26
of 36 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,988 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 359,942 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.