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Mendeley readers
Attention Score in Context
| Title |
Using Abbreviated Injury Scale (AIS) codes to classify Computed Tomography (CT) features in the Marshall System
|
|---|---|
| Published in |
BMC Medical Research Methodology, August 2010
|
| DOI | 10.1186/1471-2288-10-72 |
| Pubmed ID | |
| Authors |
Mehdi M Lesko, Maralyn Woodford, Laura White, Sarah J O'Brien, Charmaine Childs, Fiona E Lecky |
| Abstract |
The purpose of Abbreviated Injury Scale (AIS) is to code various types of Traumatic Brain Injuries (TBI) based on their anatomical location and severity. The Marshall CT Classification is used to identify those subgroups of brain injured patients at higher risk of deterioration or mortality. The purpose of this study is to determine whether and how AIS coding can be translated to the Marshall Classification |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Netherlands | 1 | 1% |
| Nigeria | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 67 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 18% |
| Researcher | 11 | 15% |
| Student > Ph. D. Student | 9 | 13% |
| Student > Bachelor | 8 | 11% |
| Student > Postgraduate | 7 | 10% |
| Other | 16 | 22% |
| Unknown | 8 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 39 | 54% |
| Engineering | 7 | 10% |
| Computer Science | 4 | 6% |
| Neuroscience | 3 | 4% |
| Nursing and Health Professions | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 10 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 26 November 2020.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from BMC Medical Research Methodology
#1,088
of 2,011 outputs
Outputs of similar age
#33,519
of 94,478 outputs
Outputs of similar age from BMC Medical Research Methodology
#6
of 11 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,011 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 43rd percentile – i.e., 43% 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 94,478 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.