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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluation of the accuracy of diagnostic coding for influenza compared to laboratory results: the availability of test results before hospital discharge facilitates improved coding accuracy
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, May 2021
|
| DOI | 10.1186/s12911-021-01531-9 |
| Pubmed ID | |
| Authors |
Nasir Wabe, Ling Li, Robert Lindeman, Jeffrey J. Post, Maria R. Dahm, Julie Li, Johanna I. Westbrook, Andrew Georgiou |
X Demographics
The data shown below were collected from the profiles of 6 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 | 6 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 11% |
| Other | 2 | 11% |
| Librarian | 1 | 6% |
| Researcher | 1 | 6% |
| Student > Postgraduate | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 11 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 17% |
| Nursing and Health Professions | 2 | 11% |
| Social Sciences | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Unknown | 10 | 56% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 March 2023.
All research outputs
#7,381,905
of 24,493,053 outputs
Outputs from BMC Medical Informatics and Decision Making
#686
of 2,084 outputs
Outputs of similar age
#151,559
of 437,515 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#25
of 61 outputs
Altmetric has tracked 24,493,053 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,084 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 66% 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 437,515 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.