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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A risk stratification scheme for synchronous oligometastatic non-small cell lung cancer developed by a multicentre analysis
|
|---|---|
| Published in |
Lung Cancer (01695002), February 2021
|
| DOI | 10.1016/j.lungcan.2021.02.001 |
| Pubmed ID | |
| Authors |
Lorenzo Spaggiari, Luca Bertolaccini, Francesco Facciolo, Filippo Tommaso Gallina, Federico Rea, Marco Schiavon, Stefano Margaritora, Maria Teresa Congedo, Marco Lucchi, Ilaria Ceccarelli, Marco Alloisio, Edoardo Bottoni, Giampiero Negri, Angelo Carretta, Giuseppe Cardillo, Sara Ricciardi, Enrico Ruffini, Lorena Costardi, Giovanni Muriana, Domenico Viggiano, Michele Rusca, Luigi Ventura, Giuseppe Marulli, Angela De Palma, Lorenzo Rosso, Paolo Mendogni, Roberto Crisci, Andrea De Vico, Pio Maniscalco, Nicola Tamburini, Francesco Puma, Silvia Ceccarelli, Luca Voltolini, Stefano Bongiolatti, Angelo Morelli, Francesco Londero |
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 % |
|---|---|---|
| Germany | 1 | 11% |
| Portugal | 1 | 11% |
| Unknown | 7 | 78% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 3 | 19% |
| Unspecified | 2 | 13% |
| Student > Doctoral Student | 2 | 13% |
| Student > Ph. D. Student | 2 | 13% |
| Student > Postgraduate | 2 | 13% |
| Other | 2 | 13% |
| Unknown | 3 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 50% |
| Arts and Humanities | 1 | 6% |
| Computer Science | 1 | 6% |
| Unspecified | 1 | 6% |
| Unknown | 5 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 04 April 2021.
All research outputs
#6,406,783
of 25,477,125 outputs
Outputs from Lung Cancer (01695002)
#848
of 3,037 outputs
Outputs of similar age
#154,942
of 539,611 outputs
Outputs of similar age from Lung Cancer (01695002)
#30
of 78 outputs
Altmetric has tracked 25,477,125 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,037 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 71% 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 539,611 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 71% of its contemporaries.
We're also able to compare this research output to 78 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 61% of its contemporaries.