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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Mouse Heterochromatin Adopts Digital Compaction States without Showing Hallmarks of HP1-Driven Liquid-Liquid Phase Separation
|
|---|---|
| Published in |
Molecular Cell, April 2020
|
| DOI | 10.1016/j.molcel.2020.02.005 |
| Pubmed ID | |
| Authors |
Fabian Erdel, Anne Rademacher, Rifka Vlijm, Jana Tünnermann, Lukas Frank, Robin Weinmann, Elisabeth Schweigert, Klaus Yserentant, Johan Hummert, Caroline Bauer, Sabrina Schumacher, Ahmad Al Alwash, Christophe Normand, Dirk-Peter Herten, Johann Engelhardt, Karsten Rippe |
Twitter Demographics
The data shown below were collected from the profiles of 134 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 21 | 16% |
| Japan | 14 | 10% |
| France | 13 | 10% |
| Germany | 9 | 7% |
| United Kingdom | 4 | 3% |
| Austria | 2 | 1% |
| Switzerland | 2 | 1% |
| Spain | 1 | <1% |
| India | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 64 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 83 | 62% |
| Scientists | 50 | 37% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 330 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 330 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 79 | 24% |
| Researcher | 54 | 16% |
| Student > Bachelor | 32 | 10% |
| Student > Master | 30 | 9% |
| Professor | 22 | 7% |
| Other | 44 | 13% |
| Unknown | 69 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 164 | 50% |
| Agricultural and Biological Sciences | 42 | 13% |
| Physics and Astronomy | 12 | 4% |
| Materials Science | 5 | 2% |
| Computer Science | 4 | 1% |
| Other | 27 | 8% |
| Unknown | 76 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 76. 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 22 June 2022.
All research outputs
#532,634
of 24,525,936 outputs
Outputs from Molecular Cell
#376
of 7,415 outputs
Outputs of similar age
#14,550
of 373,476 outputs
Outputs of similar age from Molecular Cell
#15
of 105 outputs
Altmetric has tracked 24,525,936 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 7,415 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one has done particularly well, scoring higher than 94% 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 373,476 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 96% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.