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X Demographics
Mendeley readers
Attention Score in Context
Title |
B Cell Super-Enhancers and Regulatory Clusters Recruit AID Tumorigenic Activity
|
---|---|
Published in |
Cell, December 2014
|
DOI | 10.1016/j.cell.2014.11.013 |
Pubmed ID | |
Authors |
Jason Qian, Qiao Wang, Marei Dose, Nathanael Pruett, Kyong-Rim Kieffer-Kwon, Wolfgang Resch, Genqing Liang, Zhonghui Tang, Ewy Mathé, Christopher Benner, Wendy Dubois, Steevenson Nelson, Laura Vian, Thiago Y. Oliveira, Mila Jankovic, Ofir Hakim, Anna Gazumyan, Rushad Pavri, Parirokh Awasthi, Bin Song, Geng Liu, Longyun Chen, Shida Zhu, Lionel Feigenbaum, Louis Staudt, Cornelis Murre, Yijun Ruan, Davide F. Robbiani, Qiang Pan-Hammarström, Michel C. Nussenzweig, Rafael Casellas |
X Demographics
The data shown below were collected from the profiles of 8 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 States | 2 | 25% |
Korea, Republic of | 1 | 13% |
France | 1 | 13% |
Unknown | 4 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Scientists | 1 | 13% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 392 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 1% |
Germany | 3 | <1% |
United Kingdom | 3 | <1% |
China | 2 | <1% |
France | 1 | <1% |
Austria | 1 | <1% |
Turkey | 1 | <1% |
Spain | 1 | <1% |
Luxembourg | 1 | <1% |
Other | 0 | 0% |
Unknown | 375 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 106 | 27% |
Student > Ph. D. Student | 85 | 22% |
Student > Master | 35 | 9% |
Student > Bachelor | 32 | 8% |
Professor | 23 | 6% |
Other | 60 | 15% |
Unknown | 51 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 144 | 37% |
Biochemistry, Genetics and Molecular Biology | 116 | 30% |
Medicine and Dentistry | 35 | 9% |
Immunology and Microbiology | 22 | 6% |
Computer Science | 3 | <1% |
Other | 17 | 4% |
Unknown | 55 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 October 2023.
All research outputs
#2,318,762
of 26,017,215 outputs
Outputs from Cell
#6,056
of 17,318 outputs
Outputs of similar age
#30,733
of 374,451 outputs
Outputs of similar age from Cell
#97
of 146 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,318 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.7. This one has gotten more attention than average, scoring higher than 64% 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 374,451 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.