You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Dynamic proteomics in individual human cells uncovers widespread cell-cycle dependence of nuclear proteins
|
|---|---|
| Published in |
Nature Methods, June 2006
|
| DOI | 10.1038/nmeth892 |
| Pubmed ID | |
| Authors |
Alex Sigal, Ron Milo, Ariel Cohen, Naama Geva-Zatorsky, Yael Klein, Inbal Alaluf, Naamah Swerdlin, Natalie Perzov, Tamar Danon, Yuvalal Liron, Tal Raveh, Anne E Carpenter, Galit Lahav, Uri Alon |
Mendeley readers
The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Germany | 3 | 2% |
| Portugal | 2 | 1% |
| United Kingdom | 2 | 1% |
| Switzerland | 2 | 1% |
| Japan | 2 | 1% |
| Norway | 1 | <1% |
| China | 1 | <1% |
| France | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 173 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 61 | 31% |
| Student > Ph. D. Student | 52 | 27% |
| Professor > Associate Professor | 12 | 6% |
| Student > Master | 12 | 6% |
| Professor | 9 | 5% |
| Other | 32 | 16% |
| Unknown | 16 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 80 | 41% |
| Biochemistry, Genetics and Molecular Biology | 36 | 19% |
| Engineering | 11 | 6% |
| Computer Science | 10 | 5% |
| Medicine and Dentistry | 9 | 5% |
| Other | 25 | 13% |
| Unknown | 23 | 12% |
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 25 December 2018.
All research outputs
#5,611,796
of 25,837,817 outputs
Outputs from Nature Methods
#3,485
of 5,401 outputs
Outputs of similar age
#15,925
of 90,685 outputs
Outputs of similar age from Nature Methods
#9
of 24 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,401 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.7. 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 90,685 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 24 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.