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X Demographics
Mendeley readers
Attention Score in Context
| Title |
5-Hydroxymethylcytosine Remodeling Precedes Lineage Specification during Differentiation of Human CD4+ T Cells
|
|---|---|
| Published in |
Cell Reports, June 2016
|
| DOI | 10.1016/j.celrep.2016.05.091 |
| Pubmed ID | |
| Authors |
Colm E. Nestor, Antonio Lentini, Cathrine Hägg Nilsson, Danuta R. Gawel, Mika Gustafsson, Lina Mattson, Hui Wang, Olof Rundquist, Richard R. Meehan, Bernward Klocke, Martin Seifert, Stefanie M. Hauck, Helmut Laumen, Huan Zhang, Mikael Benson |
X Demographics
The data shown below were collected from the profiles of 12 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 | 4 | 33% |
| Switzerland | 1 | 8% |
| Germany | 1 | 8% |
| Finland | 1 | 8% |
| Malaysia | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 50% |
| Scientists | 4 | 33% |
| Science communicators (journalists, bloggers, editors) | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| France | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 75 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 26% |
| Student > Ph. D. Student | 14 | 18% |
| Student > Master | 9 | 12% |
| Student > Bachelor | 6 | 8% |
| Other | 3 | 4% |
| Other | 11 | 14% |
| Unknown | 15 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 24% |
| Agricultural and Biological Sciences | 17 | 22% |
| Immunology and Microbiology | 8 | 10% |
| Medicine and Dentistry | 6 | 8% |
| Neuroscience | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 15 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 66. 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 05 August 2016.
All research outputs
#657,949
of 25,837,817 outputs
Outputs from Cell Reports
#1,436
of 13,185 outputs
Outputs of similar age
#12,856
of 373,097 outputs
Outputs of similar age from Cell Reports
#46
of 274 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,185 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.1. This one has done well, scoring higher than 89% 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 373,097 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 95% of its contemporaries.
We're also able to compare this research output to 274 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.