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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessment of interstitial lung disease in systemic sclerosis using the quantitative CT algorithm CALIPER
|
|---|---|
| Published in |
Clinical Rheumatology, January 2020
|
| DOI | 10.1007/s10067-020-04938-3 |
| Pubmed ID | |
| Authors |
Alessandro Maria Ferrazza, Antonietta Gigante, Maria Ludovica Gasperini, Rosa Maria Ammendola, Gregorino Paone, Iacopo Carbone, Edoardo Rosato |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 3 | 33% |
| United Kingdom | 1 | 11% |
| Ukraine | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 3 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 5 | 17% |
| Student > Master | 5 | 17% |
| Student > Bachelor | 4 | 13% |
| Other | 3 | 10% |
| Researcher | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 7 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 40% |
| Nursing and Health Professions | 4 | 13% |
| Agricultural and Biological Sciences | 2 | 7% |
| Unspecified | 1 | 3% |
| Psychology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 January 2020.
All research outputs
#6,328,641
of 23,186,937 outputs
Outputs from Clinical Rheumatology
#966
of 3,061 outputs
Outputs of similar age
#136,322
of 456,917 outputs
Outputs of similar age from Clinical Rheumatology
#42
of 91 outputs
Altmetric has tracked 23,186,937 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,061 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has gotten more attention than average, scoring higher than 68% 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 456,917 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 70% of its contemporaries.
We're also able to compare this research output to 91 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 53% of its contemporaries.