| Title |
Evaluating lexical similarity and modeling discrepancies in the procedure hierarchy of SNOMED CT
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, December 2018
|
| DOI | 10.1186/s12911-018-0673-z |
| Pubmed ID | |
| Authors |
Ankur Agrawal |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 15% |
| Student > Master | 3 | 12% |
| Other | 2 | 8% |
| Student > Postgraduate | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Other | 5 | 19% |
| Unknown | 9 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 15% |
| Business, Management and Accounting | 3 | 12% |
| Engineering | 3 | 12% |
| Computer Science | 2 | 8% |
| Materials Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 12 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 13 December 2018.
All research outputs
#15,027,561
of 23,117,738 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,247
of 2,013 outputs
Outputs of similar age
#250,636
of 436,996 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#30
of 51 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,013 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 34th percentile – i.e., 34% 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 436,996 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.