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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Tracing CLL-biased stereotyped immunoglobulin gene rearrangements in normal B cell subsets using a high-throughput immunogenetic approach
|
|---|---|
| Published in |
Molecular Medicine, March 2020
|
| DOI | 10.1186/s10020-020-00151-9 |
| Pubmed ID | |
| Authors |
Monica Colombo, Davide Bagnara, Daniele Reverberi, Serena Matis, Martina Cardillo, Rosanna Massara, Luca Mastracci, Jean Louis Ravetti, Luca Agnelli, Antonino Neri, Michela Mazzocco, Margherita Squillario, Andrea Nicola Mazzarello, Giovanna Cutrona, Andreas Agathangelidis, Kostas Stamatopoulos, Manlio Ferrarini, Franco Fais |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 27% |
| Student > Ph. D. Student | 4 | 27% |
| Student > Master | 2 | 13% |
| Student > Bachelor | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 33% |
| Immunology and Microbiology | 2 | 13% |
| Medicine and Dentistry | 2 | 13% |
| Computer Science | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 3 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 15 March 2020.
All research outputs
#14,191,062
of 23,198,445 outputs
Outputs from Molecular Medicine
#766
of 1,157 outputs
Outputs of similar age
#192,143
of 363,227 outputs
Outputs of similar age from Molecular Medicine
#9
of 11 outputs
Altmetric has tracked 23,198,445 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,157 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 33rd percentile – i.e., 33% 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 363,227 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.