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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Statistical methods for constructing disease comorbidity networks from longitudinal inpatient data
|
|---|---|
| Published in |
Applied Network Science, November 2018
|
| DOI | 10.1007/s41109-018-0101-4 |
| Pubmed ID | |
| Authors |
Babak Fotouhi, Naghmeh Momeni, Maria A. Riolo, David L. Buckeridge |
X Demographics
The data shown below were collected from the profiles of 23 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 | 3 | 13% |
| United States | 2 | 9% |
| Italy | 1 | 4% |
| Australia | 1 | 4% |
| Finland | 1 | 4% |
| Spain | 1 | 4% |
| France | 1 | 4% |
| Bangladesh | 1 | 4% |
| Canada | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 11 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 61% |
| Scientists | 7 | 30% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 19% |
| Researcher | 10 | 15% |
| Student > Master | 8 | 12% |
| Student > Doctoral Student | 6 | 9% |
| Student > Bachelor | 4 | 6% |
| Other | 7 | 10% |
| Unknown | 19 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 13% |
| Medicine and Dentistry | 7 | 10% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Nursing and Health Professions | 4 | 6% |
| Physics and Astronomy | 3 | 4% |
| Other | 14 | 21% |
| Unknown | 24 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 18 November 2018.
All research outputs
#2,879,518
of 23,577,761 outputs
Outputs from Applied Network Science
#79
of 514 outputs
Outputs of similar age
#61,323
of 354,065 outputs
Outputs of similar age from Applied Network Science
#5
of 12 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 514 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 84% 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 354,065 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 12 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 58% of its contemporaries.