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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Nomogram-Based Model to Predict Respiratory Dysfunction at 6 Months in Non-Critical COVID-19 Survivors
|
|---|---|
| Published in |
Frontiers in Medicine, February 2022
|
| DOI | 10.3389/fmed.2022.781410 |
| Pubmed ID | |
| Authors |
Rebecca De Lorenzo, Cristiano Magnaghi, Elena Cinel, Giordano Vitali, Sabina Martinenghi, Mario G. Mazza, Luigi Nocera, Marta Cilla, Sarah Damanti, Nicola Compagnone, Marica Ferrante, Caterina Conte, Francesco Benedetti, Fabio Ciceri, Patrizia Rovere-Querini |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Master | 2 | 9% |
| Professor | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 13 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 22% |
| Nursing and Health Professions | 3 | 13% |
| Sports and Recreations | 1 | 4% |
| Arts and Humanities | 1 | 4% |
| Unknown | 13 | 57% |
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 10 March 2022.
All research outputs
#20,712,517
of 23,312,088 outputs
Outputs from Frontiers in Medicine
#5,183
of 5,971 outputs
Outputs of similar age
#362,940
of 441,953 outputs
Outputs of similar age from Frontiers in Medicine
#541
of 657 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,971 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one is in the 1st percentile – i.e., 1% 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 441,953 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 657 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.